introtoga/chap1/comp1/simpleGA.rkt

#lang typed/racket

;; A simple genetic algorithm
;; Computer Exercise #1 from Intro to GA by Mitchell
;;
;; Uses:
;; - fitness-proportionate selection
;; - routlette-wheel sampling

(require math)

; population size and individual chromosome length
(define popsize 100)
(define chromlen 100)
; single-point crossover rate
(define p-cross 0.7)
; bitwise mutation rate
(define p-mutate 0.001)


; Fitness assessment is the number of 1's in the population member
(: fitness (-> (Listof Integer) Real))
(define (fitness member)
  (/ (sum member)
     (length member)))


; mutate an individual
(: mutate (-> (Listof Integer) (Listof Integer)))
(define (mutate member)
  )

(: genpop (-> (Listof Integer)))
(define genpop
  )