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geneticalgorithm's Introduction

Genetic algorithm

Simple implementation of genetic algorithm.

START

  • Generate the initial population
  • Compute fitness
REPEAT
  • Selection
  • Crossover
  • Mutation
  • Compute fitness
UNTIL population has converged
STOP

Task description

  • domain class Gene
  • domain class Chromosome
  • domain class Chain
  • domain class Pool
  • method createGene (random)
  • method createChromosome (random Genes)
  • method crossover (Chromosome)
  • method mutate (Chromosome)
  • method createChain (random Chromosomes)
  • describe fitness (what task is solved with genetic algorithm)
  • get result

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