Java StarLogo
1.0
`turtle`
to realrandom :limit
  output ((random (:limit * 100000)) / 100000)
end

to positive-modulus :intvalue :intmodulus
  ifelse (:intvalue < :intmodulus)
  [ output :intvalue ]
  [ output positive-modulus (:intvalue - :intmodulus) :intmodulus ]
end

to setup-screen

  if (breed != artists) [print [ERROR!  breed bad in setup-screen] die]
  pu
  setc white

  ifelse ( screen-height < screen-width )
  [
    setxy 0 screen-half-height
    seth 180
    pd
    fd screen-height
  ]
  [
    setxy screen-half-width 0
    seth 270
    pd
    fd screen-width
  ]

  die

end

to setup-towns
  if (breed != towns) [print [ERROR!  breed bad in setup-towns] die]
  setturtledata list set-town-x set-town-y
  pu
  setc 9
  setxy (get-town-x + city-offset-x) (get-town-y + city-offset-y)
end

to set-town-x
  output ( ( 0.9 * realrandom box-size-x ) - ( box-size-x * 0.45 ) )
end

to get-town-x
  if (breed != towns) [print [ERROR!  breed bad in get-town-x] die]
  output first turtledata
end

to set-town-y
  output ( ( 0.9 * realrandom box-size-y ) - ( box-size-y * 0.45 ) )
end

to get-town-y
  if (breed != towns) [print [ERROR!  breed bad in get-town-y] die]
  output last turtledata
end

to setup-travelers

  if (breed != travelers) [print [ERROR!  breed bad in setup-travelers] die]

  setturtledata ( set-genome list-of-towns )

  setturtledata ( list turtledata (list set-color huge-fitness-initializer ) )

  put-fitness set-fitness

  if ( fitness-best-ever > get-fitness )
  [
     setfitness-best-ever get-fitness
  ]

  if ( fitness-worst-ever < get-fitness )
  [
    setfitness-worst-ever get-fitness
  ]

  print ( list [genome]        ( first turtledata ) )
  print ( list [color fitness] ( last  turtledata ) )

  ifelse annealing-prepass-feature-enabled
  [
    setannealing-enabled true
    setannealing-overshoot-limit ( annealing-overshoot-fraction * get-fitness )
  ]
  [
    setannealing-enabled false
    setannealing-overshoot-limit 0 ;; just for neatness
  ]

  print ( se ( list [annealing enabled] annealing-enabled )
             ( list [overshoot-limit] annealing-overshoot-limit ) )
  pu

  setc get-color

  let [:junk-output spin-home]

  go-hither-and-aim-yon

  print (se (se (list [curtownx] target-x) (list [curtowny] target-y)) (list [curdist] target-dist))

  pd

end

to go-hither-and-aim-yon

  setxy ( get-current-town-x + plot-offset-x ) ( get-current-town-y + plot-offset-y)

  ;; print ( se [this town] ( se get-current-town ( se xcor ycor ) ) )

  rotate-genome

  settarget-x ( get-current-town-x + plot-offset-x )
  settarget-y ( get-current-town-y + plot-offset-y )
  settarget-dist distance-nowrap target-x target-y

  seth towards-nowrap target-x target-y

  ;; print (se [next town] ( se get-current-town (se target-x (se target-y (se target-dist heading) ) ) ) )

end

to setup-eraser
  pu
  setc black
  let [:currenttown pick list-of-towns]
  let [:mycurrent turtledata-of :currenttown]
  setxy ((first :mycurrent) + plot-offset-x) ((last :mycurrent) + plot-offset-y)
  let [:nexttown pick list-of-towns]
  let [:mynext turtledata-of :nexttown]
  setturtledata :nexttown
  settarget-dist town-distance :currenttown :nexttown
  settarget-x ((first :mynext) + plot-offset-x)
  settarget-y ((last  :mynext) + plot-offset-y)
  seth towards-nowrap target-x target-y
  pd
end

to erase
  if (wobble = true)
  [
    let [:nexttown pick list-of-towns]
    let [:mynext turtledata-of :nexttown]
    settarget-dist town-distance turtledata :nexttown
    setturtledata :nexttown
    settarget-x ((first :mynext) + plot-offset-x)
    settarget-y ((last  :mynext) + plot-offset-y)
    seth towards-nowrap target-x target-y
  ]
  stop
end

to get-color
  if (breed != travelers) [print [ERROR!  breed bad in get-color] die]
  output ( first ( last turtledata ) )
end

to set-genome :inlist
  if (breed != travelers) [print [ERROR!  breed bad in set-genome] die]
  if ((length :inlist) < 1) [print [ERROR! null inlist in set-genome] die]

  let [:myinlist :inlist]
  let [:myoutlist ([])]

  repeat the-towns-count
  [
    ifelse ((length :myinlist) = 1)
    [
      let [:myoutlist lput first :myinlist :myoutlist]
      output :myoutlist
    ]
    [
      let [:itemshifts ( 1 + random (length :myinlist))]
      repeat :itemshifts
      [
        let [:myinlist ( lput ( first :myinlist ) ( butfirst :myinlist ) )]
      ]
      let [:myoutlist lput first :myinlist :myoutlist]
      let [:myinlist butfirst :myinlist]
    ]
  ]
end

to get-current-town
  if (breed != travelers) [print [ERROR!  breed bad in get-current-town] die]
  output ( first ( first turtledata ) )
end

to get-current-town-x
  if (breed != travelers) [print [ERROR!  breed bad in get-current-town-x] die]
  output first turtledata-of get-current-town
end

to get-current-town-y
  if (breed != travelers) [print [ERROR!  breed bad in get-current-town-y] die]
  output last turtledata-of get-current-town
end

to set-color
  if (breed != travelers) [print [ERROR!  breed bad in set-color] die]
  output ( 15 + ( color-step * ( positive-modulus who the-travelers-count ) ) )
end

to rotate-genome
  if (breed != travelers) [print [ERROR!  breed bad in rotate-genome] die]
  setturtledata ( list ( se ( butfirst ( first turtledata ) )
                            ( first    ( first turtledata ) ) )
                       ( last turtledata ) )
end

to put-fitness :some-fitness
  if (breed != travelers) [print [ERROR!  breed bad in put-fitness] die]
  setturtledata (list (first turtledata) (list (first (last turtledata) ) :some-fitness) )
end

to set-fitness
  if (breed != travelers) [print [ERROR!  breed bad in set-fitness] die]
  let [:fitness 0]
  repeat the-towns-count
  [
    let [:fitness (:fitness + town-distance
         (item 1 first turtledata) (item 2 first turtledata) )]
    rotate-genome
  ]
  output :fitness
end

to town-distance :town-a :town-b
  let [:ax first turtledata-of :town-a]
  let [:ay last  turtledata-of :town-a]
  let [:bx first turtledata-of :town-b]
  let [:by last  turtledata-of :town-b]
  let [:dx (:ax - :bx)]
  let [:dy (:ay - :by)]
  output sqrt( ( :dx * :dx ) + ( :dy * :dy ) )
end

to attempt-improvement

  if annealing-enabled
  [
    ;; do-annealing is using output as a loop exit, the output isn't otherwise valuable
    let [ :junk-output do-annealing ]
    stop
  ]

  ;; We want to recompute this every time so that the user can modify the
  ;; weights while the program is running and make it have effect.

  let [
    :random-high
    (
      ordered-crossover-selection-weight
    + partial-match-crossover-selection-weight
    + cyclic-crossover-selection-weight
    + inversion-selection-weight
    + mutation-selection-weight
    + permutation-selection-weight
    + do-nothing-selection-weight
    )
  ]

  let [ :this-random random :random-high ]

  let [ :cumulative-weight 0 ]

  let [ :cumulative-weight (:cumulative-weight + ordered-crossover-selection-weight) ]

  if ( :this-random < :cumulative-weight )
  [
    do-ordered-crossover
    stop
  ]

  let [ :cumulative-weight (:cumulative-weight + partial-match-crossover-selection-weight) ]

  if ( :this-random < :cumulative-weight )
  [
    do-partial-match-crossover
    stop
  ]

  let [ :cumulative-weight (:cumulative-weight + cyclic-crossover-selection-weight) ]

  if ( :this-random < :cumulative-weight )
  [
    do-cyclic-crossover
    stop
  ]

  let [ :cumulative-weight (:cumulative-weight + inversion-selection-weight) ]

  if ( :this-random < :cumulative-weight )
  [
    do-inversion
    stop
  ]

  let [ :cumulative-weight ( :cumulative-weight + mutation-selection-weight ) ]

  if ( :this-random < :cumulative-weight )
  [
    do-mutation
    stop
  ]

  let [ :cumulative-weight (:cumulative-weight + permutation-selection-weight) ]

  if ( :this-random < :cumulative-weight )
  [
    do-permutation
    stop
  ]

end

to get-genome
  output first turtledata
end

to put-genome :some-genome
  setturtledata (list :some-genome (last turtledata))
end

to spin-to :some-genome :some-town
  repeat the-towns-count
  [
    ifelse ( ( first :some-genome ) = :some-town )
    [
      output :some-genome
    ]
    [
      let [:some-genome ( lput ( first :some-genome ) ( butfirst :some-genome ) ) ]
    ]
  ]
  print [ERROR! spin-to did not find town in genome]
end

to split-to :some-genome :some-town
  let [:inversion-part ([])]
  repeat the-towns-count
  [
    ifelse ((first :some-genome) = :some-town)
    [
      let [:inversion-part (fput (first :some-genome) :inversion-part)]
      let [:some-genome (butfirst :some-genome)]
      output (list :inversion-part :some-genome)
    ]
    [
      let [:inversion-part (fput (first :some-genome) :inversion-part)]
      let [:some-genome (butfirst :some-genome)]
    ]
  ]
  print [ERROR! split-to did not find town in genome]
end

to draw-new-best
end

to augment-annealing-overshoot-limit
  ifelse ( ( breed = travelers ) and ( annealing-enabled = true ) )
  [ output annealing-overshoot-limit ]
  [ output 0 ]
end

to augment-fitness
  ifelse ( breed = travelers )
  [ output get-fitness ]
  [ output 0 ]
end

to minimize-fitness-best
  if ( breed = travelers ) 
  [
    let [:local-fitness last last turtledata]
    if ( :local-fitness < fitness-best )
    [
      setfitness-best :local-fitness
    ]
  ]
end

to maximize-fitness-worst
  if (breed = travelers )
  [
    let [:local-fitness last last turtledata]
    if ( :local-fitness > fitness-worst )
    [
      setfitness-worst :local-fitness
    ]
  ]
end

to minimize-annealing-limit-smallest
  if ((breed = travelers) and (annealing-enabled = true))
  [
    setannealing-limit-smallest ( min annealing-limit-smallest annealing-overshoot-limit )
  ]
end

to maximize-annealing-limit-largest
  if ((breed = travelers) and (annealing-enabled = true))
  [
    setannealing-limit-largest  ( max annealing-limit-largest  annealing-overshoot-limit )
  ]
end

to pick-inversion-ends :genome

  let [:local-genome :genome]

  loop
  [
    let [:start-at pick :local-genome]
    let [:end-at pick :local-genome]

    let [:local-genome (spin-to :local-genome :start-at)]

    if ( not ( ( :start-at = :end-at )
             or 
             ( ( :end-at = ( last :local-genome ) )
               or ( :end-at = ( last ( butlast :local-genome ) ) ) ) ) )
    [
      output (list :start-at :end-at)
    ]
  ]

end

to do-annealing

   let [:tries 0]
  ;; loop is your friend, helps prevent the heartbreak of recursion.
  ;; just use output as your break statement

  loop
  [
    let [:tries ( :tries + 1 ) ]
    let [:genome get-genome]

    let [:ends pick-inversion-ends :genome]
    let [:start-at first :ends]
    let [:end-at last :ends]

    let [:genome (spin-to :genome :start-at )]
    let [:genome (split-to :genome :end-at)]
    let [:after-end-at (first (last :genome))]
    let [:before-start-at (last (last :genome))]

    let [:delta (((town-distance :end-at :before-start-at)
                - (town-distance :end-at :after-end-at))
               + ((town-distance :start-at :after-end-at)
                - (town-distance :before-start-at :start-at))) ]

    let [:genome (se (first :genome) (last :genome))]
 
    if ( :delta < 0 )
    [
      output annealing_improved :delta :genome
    ]
 
    if ( ( :delta > 0 )
         and
         ( ( :delta < annealing-overshoot-limit )
           and
           ( annealing-slider-success > ( random 1000 ) ) ) )
    [
      output annealing_worstened :delta :genome
    ]

    if ( :delta = 0 )
    [
      output annealing-misbehaved :delta :genome
    ]

    if (0 = (random annealing-no-surrender-effort))
    [
      print ( se [surrendered after] ( se :tries ( se [tries with fitness] get-fitness ) ) )

      adjust-annealing-overshoot-limit  ;; must do this even here or infinite loop may result

      setoutputline-count ( outputline-count + 1 )

      output false
    ]

  ]

end

to adjust-annealing-overshoot-limit

  setannealing-overshoot-limit ( annealing-overshoot-limit * annealing-stepdown-fraction )

  if ( annealing-overshoot-limit < annealing-computed-cutoff )
  [
    setannealing-enabled false

    print (se (list [has disabled annealing at] annealing-overshoot-limit)
              (list [with fitness] get-fitness))

    setoutputline-count ( outputline-count + 1 )

    if ( 0 = count-turtles-with [ ( breed = travelers ) and ( annealing-enabled = true ) ] )
    [

      setannealing-prepass-feature-enabled false

      print (se [last to complete annealing pass with cutoff ]
                annealing-computed-cutoff )
  
      setoutputline-count ( outputline-count + 1 )

    ]
  ]

end

to report-living-annealer
  ifelse ( ( breed = travelers ) and ( annealing-enabled = true ) )
  [ output true ]
  [ output false ]
end

to annealing_improved :delta :genome

  put-fitness ( :delta + get-fitness )
  put-genome :genome

  ifelse ( get-fitness < fitness-best-ever )
  [
    print (se [new best ever] get-fitness)
    setfitness-best-ever get-fitness
    draw-new-best
  ]
  [
    ifelse ( get-fitness < fitness-best )
    [
      print (se [new best recent] get-fitness )
    ]
    [
      print ( se [improved] :delta )
    ]
  ]

  setoutputline-count ( outputline-count + 1 )

  adjust-annealing-overshoot-limit

  output true

end

to annealing_worstened :delta :genome

  put-fitness ( :delta + get-fitness )
  put-genome :genome

  ifelse ( get-fitness > fitness-worst-ever )
  [
    print (se [new worst ever] get-fitness)
    setfitness-worst-ever get-fitness
  ]
  [
    ifelse ( get-fitness > fitness-worst )
    [
      print ( se [new worst recent] get-fitness )
    ]
    [
      print ( se [worstened] :delta )
    ]
  ]

  setoutputline-count ( outputline-count + 1 )

  adjust-annealing-overshoot-limit

  output true

end

to annealing-misbehaved :delta :genome

  print [remarkably unmodified DEBUG]
  print (se [old genome] get-genome)
  print (se [new genome] :genome)

  put-fitness ( :delta + get-fitness )
  put-genome :genome
  setoutputline-count ( outputline-count + 3 )

  output true

  adjust-annealing-overshoot-limit

end

to do-ordered-crossover
end

to do-partial-match-crossover
end

to do-cyclic-crossover
end

to do-inversion
end

to do-mutation
end

to do-permutation
end


to get-fitness
  if (breed != travelers) [print [ERROR!  breed bad in get-fitness] die]
  output last last turtledata
end

to spin-home
  repeat the-towns-count
  [
    ifelse ( 0 = positive-modulus get-current-town the-towns-count )
    [
      output true
    ]
    [
      rotate-genome
    ]
  ]
  print [ERROR! spin-home did not find home town in genome]
end

to travel
  if (breed != travelers) [print [ERROR!  breed bad in travel] die]
  if ( wobble = true )
  [
    if (0 = positive-modulus get-current-town the-towns-count)
    [
      attempt-improvement
      let [:junk_output spin-home]  ;; we are sitting at home, fix genome so our next move is from home
    ]
    go-hither-and-aim-yon
  ]
  ifelse ((0 = (random travelers-die-feature-lifespan)) and travelers-die-feature-enabled)
  [ die ]
  [ stop ]
end


to wobble ;; outputs true when next target city is reached
  ifelse (target-dist < speed-control)
  [
    fd target-dist
    settarget-dist 0
    output true
  ]
  [
    fd speed-control
    settarget-dist (target-dist - speed-control)
    output false
  ]
end

`observer`
;; This is the data that belongs to each turtle breed, though not all use all types, and not all
;; uses of one type are the same.  This could have been done much better with accessors and
;; enumeration constants and a single turtle data variable. luckily this code isn't chiseled in
;; stone, either.

turtles-own [ turtledata target-x target-y target-dist annealing-enabled annealing-overshoot-limit]

globals [

;; How many turtles of various breeds to create, where the value is variable.  The "erasers" are
;; actually the artist breed of turtles reused, since the first artist dies quickly.
;; Do not laugh at my erasers, they are the trick that makes or breaks the visual part of this
;; application, by cleaning up edges of the complete graph no longer in use, or rarely in use,
;;  among candidate BTSP solution graphs.

the-towns-count
the-erasers-count
the-travelers-count

;; Stuff used for drawing the graphics part in different orientations

plot-offset-x
plot-offset-y

city-offset-x
city-offset-y

box-size-x
box-size-y

smaller-box-edge-length

;; The "travelers die" feature is just for test use, to make something change so the displayed
;; monitor values will change, when nothing special else is affecting them.  By killing off the
;; travelers slowly, the best, worst, and average values of the population change noticeably.

travelers-die-feature-enabled
travelers-die-feature-lifespan

;; Variable set to effective "infinity" for fitness, to use when initializing many variables
;; that are used for minimum or maximum calculations.

huge-fitness-initializer

;; Compute once, use many times floating point value, done to save a speck of CPU effort.

screen-quarter-width
screen-quarter-height

;; Computational variable used to spread the travelers colors across the StarLogo spectrum,
;; based on the number of travelers read from the slider at setup time.

color-step

;; Display variables for the StarLogo window monitors, showing various interesting things about
;; population genome fitness.

fitness-best
fitness-random
fitness-average
fitness-worst
fitness-best-ever
fitness-worst-ever

;; The output window stops when its buffer gets full; this count is used to control clearing that
;; window and emptying its buffer.

outputline-count

;; how many samples to take from the population to find the most or least fit member for some use

sexual-breeder1-sample-size
sexual-breeder2-sample-size
asexual-budder-sample-size
mutate-sample-size
replace-sample-size

;; selection weights for which proportion of the time what kind of GA genome modification is used;
;; their sum forms the denominator, and their individual values the numerators, for the fraction
;; of the time they are chosen.  The do nothing selection weight is set to one to avoid 
;; passing random an input of zero.

ordered-crossover-selection-weight
partial-match-crossover-selection-weight
cyclic-crossover-selection-weight
inversion-selection-weight
mutation-selection-weight
permutation-selection-weight
do-nothing-selection-weight

;; A "permutation" involves taking two to many towns numbers from the genome, shuffling them, and putting
;; them back in the same slots.  This is a more powerful operation the larget the upper limit is, but it
;; has rapidly diminishing chance of successfully improving things too, and must be used with caution.

permutation-count-limit

;; A simulated annealing prepass seeds the population with highly fit genomes.  This toggled variable
;; is the top level control for whether this feature is used or not.

annealing-prepass-feature-enabled

;; Annealing stops when the annealing overshoot variable for each travelers-breed turtle reaches a
;; user controlled lower limit.  This variable tells how many travelers are still executing annealing
;; steps.  Annealing must finish before other kinds of GA genome modifications can begin.

annealing-count-of-travelers

;; Fun display variables used in monitors to tell the user how the annealing is progressing; these show
;; the remaining overshoot limits available for travelers to use to shake up their chosen paths to avoid
;; getting stuck in local optima.

annealing-limit-average
annealing-limit-smallest
annealing-limit-largest
annealing-limit-random

annealing-computed-cutoff       ;; slider value converted to fitness units, a constant
annealing-slider-cutoff         ;; * 1000 as fraction of screen-half-height 0.001 to 0.999
annealing-slider-overshoot      ;; * 1000 overshoot allowed as fraction of starting fitness
annealing-overshoot-fraction    ;; fraction of starting path allowed as starting overshoot
annealing-slider-stepdown       ;; * 1000 as fractional down-multiplier from 0.999 to 0.001
annealing-stepdown-fraction     ;; per step down-multiplier as a real number fraction
annealing-slider-success        ;; * 1000 as probability of acceptance from 0.001 to 0.999 -- used in integer form
annealing-no-surrender-effort   ;; chance against one of trying again when anneling changes nothing

speed-control                   ;; Interactive control from eye glazingly slow to blindingly fast
]

breeds [ artists towns travelers auditors ]

to setup

  ca

  setup-constants

  setup-toggles

  setup-annealing

  setup-fitness-display
  setup-annealing-display

  create-artists 1
  ask-artists [ setup-screen ]

  create-towns the-towns-count
  ask-towns [ setup-towns ]

  create-travelers the-travelers-count
  ask-travelers [ setup-travelers ]

  create-artists the-erasers-count
  ask-artists [ setup-eraser ]

  setup-output

  setup-plot

end

to setup-constants

  setscreen-quarter-width  ( screen-half-width  / 2 )
  setscreen-quarter-height ( screen-half-height / 2 )

  setcolor-step ( 124 / the-travelers-count )

  sethuge-fitness-initializer ( the-towns-count * ( screen-height + screen-width ) )

  setdo-nothing-selection-weight 1

  ifelse (screen-height < screen-width)
  [

    setplot-offset-x (0 - screen-quarter-width)
    setplot-offset-y 0

    setcity-offset-x (screen-quarter-width)
    setcity-offset-y 0

    setbox-size-x screen-height
    setbox-size-y screen-half-width
  ]
  [

    setplot-offset-x 0
    setplot-offset-y (0 - screen-quarter-height)

    setcity-offset-x 0
    setcity-offset-y (screen-quarter-height)

    setbox-size-x screen-half-height
    setbox-size-y screen-width

  ]

    setsmaller-box-edge-length min box-size-x box-size-y

end

to setup-toggles

  settravelers-die-feature-enabled false

  setannealing-prepass-feature-enabled true

end

to setup-output

  setoutputline-count 200  ;; We want to clear the setup output before starting the go loop, but after the user has seen it.

end

to setup-plot
end

to setup-annealing
  setannealing-computed-cutoff    ( ( smaller-box-edge-length
                                    * annealing-slider-cutoff )
				  / 1000 )
  setannealing-overshoot-fraction   ( annealing-slider-overshoot / 1000 )
  setannealing-stepdown-fraction    ( annealing-slider-stepdown  / 1000 )
end

to setup-annealing-display

  setannealing-limit-smallest huge-fitness-initializer
  setannealing-limit-largest  (0 - huge-fitness-initializer)
  setannealing-limit-average  -1
  setannealing-limit-random   -1

  ifelse annealing-prepass-feature-enabled
  [
    setannealing-count-of-travelers the-travelers-count
  ]
  [
    setannealing-count-of-travelers 0
  ]

end

to setup-fitness-display
  setfitness-best    huge-fitness-initializer
  setfitness-worst   ( 0 - huge-fitness-initializer )
  setfitness-random  -1
  setfitness-average -1
  setfitness-best-ever huge-fitness-initializer
  setfitness-worst-ever ( 0 - huge-fitness-initializer )
end

to audit-fitness-all

  if ( display-survivors > 0 )
  [

    setfitness-best     huge-fitness-initializer
    setfitness-worst    0
    let [:local-fitness-average  0]

    ask-turtles
    [
      minimize-fitness-best
      maximize-fitness-worst
    ]

    let [:local-fitness-average sum-of-turtles [ augment-fitness ]] 
    setfitness-average ( :local-fitness-average / display-survivors )

  ]

end

to audit-annealing-all

  if (annealing-prepass-feature-enabled = true)
  [

    ifelse ( display-annealing-count-of-travelers > 0 )
    [
      
      let [:local-annealing-limit-average sum-of-turtles [ augment-annealing-overshoot-limit ]] 
      setannealing-limit-average ( :local-annealing-limit-average / display-annealing-count-of-travelers )

      setannealing-limit-smallest huge-fitness-initializer
      setannealing-limit-largest (0 - huge-fitness-initializer)

      ask-travelers
      [
	minimize-annealing-limit-smallest
	maximize-annealing-limit-largest
      ]
    ]
    [
      setannealing-prepass-feature-enabled false
    ]
  ]

end

to audit-fitness-random

  if ( display-survivors > 0 )
  [
    let [:hobo pick list-of-travelers]
    ask-travelers [ if ( who = :hobo ) [ setfitness-random get-fitness ] ]
  ]

end

to audit-annealing-random

  setannealing-count-of-travelers ( count-turtles-with [ report-living-annealer ] )

  if ( annealing-count-of-travelers > 0 )
  [
    let [:annealers list-of-turtles-with [ report-living-annealer ] ]
    let [:annealer pick :annealers]
    ask-turtles [ if ( who = :annealer ) [setannealing-limit-random annealing-overshoot-limit] ]
  ]

end

to toggle-travelers-die
  ifelse travelers-die-feature-enabled
  [settravelers-die-feature-enabled false]
  [settravelers-die-feature-enabled true]
end

to display-travelers-die
  ifelse travelers-die-feature-enabled
  [output 1]
  [output 0]
end

to toggle-annealing-prepass
  ifelse annealing-prepass-feature-enabled
  [setannealing-prepass-feature-enabled false]
  [setannealing-prepass-feature-enabled true]
end

to display-annealing-prepass
  ifelse annealing-prepass-feature-enabled
  [output 1]
  [output 0]
end

to display-fitness-best
 output fitness-best
end

to display-fitness-random
 output fitness-random
end

to display-fitness-average
  output fitness-average
end

to display-fitness-worst
  output fitness-worst
end

to display-fitness-best-ever
  output fitness-best-ever
end

to display-fitness-worst-ever
  output fitness-worst-ever
end

to display-survivors
  output count-travelers
end

to display-annealing-count-of-travelers
  output annealing-count-of-travelers
end

to display-annealing-limit-average
  output annealing-limit-average
end

to display-annealing-limit-smallest
  output annealing-limit-smallest
end

to display-annealing-limit-largest
  output annealing-limit-largest
end

to display-annealing-limit-random
  output annealing-limit-random
end

to display-annealing-computed-cutoff
  output annealing-computed-cutoff
end

to go

  if (outputline-count > 50)
  [
    co
    setoutputline-count 0
  ]

  ask-travelers [ travel ]

  ask-artists [ erase ]

  if (0 = (random 60))
  [
    audit-fitness-all
    audit-annealing-all
  ]

  if (0 = (random 10))
  [
    audit-fitness-random
    audit-annealing-random
  ]

end

`information`
Blind Traveling Salesman Problem

Demo in StarLogo 1.00

The latest version of StarLogo is available from MIT via URL

http://www.media.mit.edu/starlogo/
"StarLogo for Java"

Copyright status of this demo: public domain

Development status of this demo:  work in progress; so far the
simulated annealing prepass is working and lots of scaffolding
is in place for futher efforts.

Original Author: Kent Paul Dolan, xanthian@well.com

Maintained at this personal website URL:

http://www.well.com/user/xanthian/public/code/StarLogo/BTSP/

Development environment: Windows NT 4.0 server.

Purpose: to give enough control and visual feedback so that the
user gains an intellectual understanding of how the problem is
being solved in an abstract sense.

Inspiration: Scott Robert Ladd's Blind Traveling Salesman Problem
demo, written as a Java applet, accessible from links at his URL:

http://www.coyotegulch.com/

Scott's demo is a wonderful way to waste hours and hours changing
parameters and watching how they affected the running of the demo.

Not having the source code to his demo yet, but itching to "tweak"
it, made me want so much to use another set of methods to start
with a better population and grow the fitness of the population,
rather than just the fitness of the most fit member of the
population, that I started this effort.  Thanks, Scott!

Features:

Gobs of slider controls for changing parameters.

Many monitors for watching fitness and other values change.

Split screen, cities shown on one half, travelers tracing their
paths on another.  This actually turns out to be a feature, not
a bug.

Travelers, displayed in different colors, execute all at once in
a single coordinate frame, so that the user can watch the solution
set converge toward a best solution when all goes well.

Invisible "eraser" travelers in the same coordinate frame clean up
unused graph edges, by each tracing a random route of the complete
graph connecting the cites, each drawing in the screen background
color.  This also "cleans up" some edges still in use, but that
also turns out to be a feature instead of a bug.

Achievements:

The original alpha release of this program was reported also to
have run without difficulty under FreeBSD.

Under simulated annealing only, a population of 64 travelers
converged to the same solution for eight cities.  [This is Logo,
remember, even if apparently complied to java byte code before
it runs, so don't expect huge performance capabilities.]

The demo will at least setup and try to run with hundreds of
cities and hundreds of travelers.  Bless StarLogo!

There is a lot of informative stuff going to the output window,
so keep that open and visible.

Bugs:

The demo is too big for small screens.  Inside its window frame,
it is 1210 by 750 pixels.  Oops.  Under some systems, this isn't
a big issue, because windows larger than the screen are supported,
under others, it is a show stopper.

Typical of Java and NT, my development platform, stressed hard
enough, the demo will lock up.  DO NOT TRY TO SAVE A LOCKED UP
StarLogo PROGRAM.  Your most likely result is an empty source
code file.

To be fair, StarLogo 1.00 was pretty much a beta release itself,
so I may be blaming the wrong parties.  There is also the little
factor that StarLogo is an intellectually challenging language
to grasp, with two cooperating (or conflicting) source code sets,
the observer code and the turtle code.  Putting functionality on
the wrong side of the divider between them can cause amazing and
amusing chaos, and rafts of incomprehensible error messages.

There are still too many "magic numbers" in the code.

The design of the per-turtle data needs rework, it should have
been done in a more OO way, as is it causes lots of coding
headaches.

Because communicating between interface and code is done in part
via global variables, there are a _lot_ of global variables.
Again, these need encapsulation.

To do:

Add the rest of the genetic algorithm code.

User Manual:

Install StarLogo.

Open this program under StarLogo -- untested yet under the newer
release.

Set sliders to interesting values.

Press the SetUp BTSP button.  Wait a bit.

Press the Stop/Go Toggle button.

The rest is pretty much intuitive.


`interface`
SLSlider
top-left 680 400
width-height 800 25
name "Speed Control in Traveler Motion per 'Go' Cycle; Low for Long may Crash Java"
variable "speed-control"
min-value 1
max-value 100
current-value 10
slider-number 20
show-name? true

SLButton
turtle-or-observer? observer
top-left 10 200
width-height 180 36
name "Stop/Go Toggle"
line-to-run "go"
forever? true
button-number 3
show-name? true

SLButton
turtle-or-observer? observer
top-left 10 10
width-height 180 36
name "Set Up BTSP"
line-to-run "setup"
forever? false
button-number 2
show-name? true

SLButton
turtle-or-observer? observer
top-left 130 10
width-height 240 36
name "Toggle Simulated Annealing Prepass Feature"
line-to-run "toggle-annealing-prepass"
forever? false
button-number 4
show-name? true

SLButton
turtle-or-observer? observer
top-left 680 10
width-height 170 36
name "Toggle Traveler Death Feature"
line-to-run "toggle-travelers-die"
forever? false
button-number 5
show-name? true

SLMonitor
top-left 50 10
width-height 110 36
name "Best Genome"
list-to-run "display-fitness-best"
digits 3
delay 0.5
monitor-number 2
show-name? true

SLMonitor
top-left 50 140
width-height 110 36
name "Average Genome"
list-to-run "display-fitness-average"
digits 3
delay 0.5
monitor-number 5
show-name? true

SLMonitor
top-left 50 270
width-height 110 36
name "Worst Genome"
list-to-run "display-fitness-worst"
digits 3
delay 0.5
monitor-number 6
show-name? true

SLMonitor
top-left 90 10
width-height 110 36
name "Best Genome Ever"
list-to-run "display-fitness-best-ever"
digits 3
delay 0.5
monitor-number 14
show-name? true

SLMonitor
top-left 90 140
width-height 110 36
name "Random Genome"
list-to-run "display-fitness-random"
digits 3
delay 0.5
monitor-number 1
show-name? true

SLMonitor
top-left 90 270
width-height 110 36
name "Worst Genome Ever"
list-to-run "display-fitness-worst-ever"
digits 3
delay 0.5
monitor-number 15
show-name? true

SLMonitor
top-left 130 270
width-height 110 36
name "off = 0   on = 1"
list-to-run "display-annealing-prepass"
digits 0
delay 0.5
monitor-number 7
show-name? true

SLMonitor
top-left 170 10
width-height 136 36
name "Smallest Annealing Limit"
list-to-run "display-annealing-limit-smallest"
digits 3
delay 0.5
monitor-number 8
show-name? true

SLMonitor
top-left 170 150
width-height 136 36
name "Average Annealing Limit"
list-to-run "display-annealing-limit-average"
digits 3
delay 0.5
monitor-number 11
show-name? true

SLMonitor
top-left 170 290
width-height 90 36
name "Cutoff Limit"
list-to-run "Display-annealing-computed-cutoff"
digits 3
delay 0.5
monitor-number 12
show-name? true

SLMonitor
top-left 210 10
width-height 136 36
name "Largest Annealing Limit"
list-to-run "display-annealing-limit-largest"
digits 3
delay 0.5
monitor-number 9
show-name? true

SLMonitor
top-left 210 150
width-height 136 36
name "Random Annealing Limit"
list-to-run "display-annealing-limit-random"
digits 3
delay 0.5
monitor-number 10
show-name? true

SLMonitor
top-left 210 290
width-height 90 36
name "Annealer Count"
list-to-run "display-annealing-count-of-travelers"
digits 0
delay 0.5
monitor-number 13
show-name? true

SLMonitor
top-left 680 200
width-height 80 36
name "0 = off   1 = on"
list-to-run "display-travelers-die"
digits 0
delay 1.0
monitor-number 4
show-name? true

SLMonitor
top-left 680 300
width-height 80 36
name "Survivors"
list-to-run "display-survivors"
digits 0
delay 0.5
monitor-number 3
show-name? true

SLSlider
top-left 260 10
width-height 370 25
name "Integer Proportion of Asexual Mutation"
variable "mutation-selection-weight"
min-value 0
max-value 20
current-value 1
slider-number 0
show-name? true

SLSlider
top-left 290 10
width-height 370 25
name "Integer Proportion of Partial Match Crossovers"
variable "partial-match-crossover-selection-weight"
min-value 0
max-value 20
current-value 1
slider-number 1
show-name? true

SLSlider
top-left 320 10
width-height 370 25
name "Integer Proportion of Cyclic Crossovers"
variable "cyclic-crossover-selection-weight"
min-value 0
max-value 20
current-value 1
slider-number 2
show-name? true

SLSlider
top-left 350 10
width-height 370 25
name "Integer Proportion of Asexual Inversion"
variable "inversion-selection-weight"
min-value 0
max-value 20
current-value 1
slider-number 3
show-name? true

SLSlider
top-left 380 10
width-height 370 25
name "Integer Proportion of Asexual Permutation"
variable "permutation-selection-weight"
min-value 0
max-value 20
current-value 1
slider-number 4
show-name? true

SLSlider
top-left 410 10
width-height 370 25
name "Integer Proportion of Ordered Crossovers"
variable "ordered-crossover-selection-weight"
min-value 0
max-value 20
current-value 1
slider-number 5
show-name? true

SLSlider
top-left 450 10
width-height 370 25
name "Upper Limit for Number of Towns Permuted "
variable "permutation-count-limit"
min-value 2
max-value 6
current-value 3
slider-number 6
show-name? true

SLSlider
top-left 490 10
width-height 370 25
name "Samples Used to Select a Best First Breeder"
variable "sexual-breeder1-sample-size"
min-value 1
max-value 20
current-value 3
slider-number 7
show-name? true

SLSlider
top-left 520 10
width-height 370 25
name "Samples Used to Select a Best Second Breeder"
variable "sexual-breeder2-sample-size"
min-value 1
max-value 20
current-value 3
slider-number 8
show-name? true

SLSlider
top-left 550 10
width-height 370 25
name "Samples Used to Select a Best Asexual Budder"
variable "asexual-budder-sample-size"
min-value 1
max-value 20
current-value 3
slider-number 9
show-name? true

SLSlider
top-left 580 10
width-height 370 25
name "Samples Used to Select a Best Mutant-to-be"
variable "mutate-sample-size"
min-value 1
max-value 20
current-value 3
slider-number 10
show-name? true

SLSlider
top-left 610 10
width-height 370 25
name "Samples Used to Select a Genome to Discard"
variable "replace-sample-size"
min-value 1
max-value 20
current-value 10
slider-number 11
show-name? true

SLSlider
top-left 480 400
width-height 800 25
name "Number of Erasers"
variable "the-erasers-count"
min-value 0
max-value 990
current-value 5
slider-number 14
show-name? true

SLSlider
top-left 520 400
width-height 800 25
name "Annealing Overshoot Starting Limit as Fraction per Thousand of Total Path Length"
variable "annealing-slider-overshoot"
min-value 1
max-value 1000
current-value 300
slider-number 15
show-name? true

SLSlider
top-left 550 400
width-height 800 25
name "Multiplier per Thousand to Decrement Annealing Overshoot each Round"
variable "annealing-slider-stepdown"
min-value 800
max-value 999
current-value 950
slider-number 16
show-name? true

SLSlider
top-left 580 400
width-height 800 25
name "Annealing Overshoot Stopping Limit as Fraction per Thousand of Screen Edge"
variable "annealing-slider-cutoff"
min-value 1
max-value 1000
current-value 3
slider-number 17
show-name? true

SLSlider
top-left 610 400
width-height 800 25
name "Fraction per Thousand of In-Limits Annealing Overshoots to Accept"
variable "annealing-slider-success"
min-value 1
max-value 1000
current-value 50
slider-number 18
show-name? true

SLSlider
top-left 640 400
width-height 800 25
name "How Hard to Try Annealing before Surrendering an Overshoot Decrement with No Change"
variable "annealing-no-surrender-effort"
min-value 1
max-value 100
current-value 50
slider-number 19
show-name? true

SLSlider
top-left 720 10
width-height 1190 25
name "Traveler's Average Lifespan when Traveler Death Feature is Enabled [ for Test Use Only ]"
variable "travelers-die-feature-lifespan"
min-value 0
max-value 10000
current-value 1000
slider-number 21
show-name? true

SLSlider
top-left 420 400
width-height 800 25
name "Number of Towns"
variable "the-towns-count"
min-value 4
max-value 128
current-value 10
slider-number 12
show-name? true

SLSlider
top-left 450 400
width-height 800 25
name "Size of Traveler Population"
variable "the-travelers-count"
min-value 1
max-value 160
current-value 10
slider-number 13
show-name? true

SLCanvas
top-left 10 400

`settings`
patch-size 2
num-shapes 256
screen-half-width 200
screen-half-height 100
interface-window-size 1210 750

`string table`
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`symbol table`
H4sIAAAAAAAAAGNgYGAAABzfRCEEAAAAAAAABA==

`double table`
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`list table`
H4sIAAAAAAAAAGNgYGAAABzfRCEEAAAAAAAABA==

`observer world`
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`patch world`
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