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Genetic algorithms (GAs) are stochastic search techniques inspired from the natural selection in the evolution process. Parameters of an algorithm or system can be regarded as chromosomes of individuals in a population of solutions. The fitter solution will be reproduced. GAs can provide solutions for highly complex search spaces.


Fields & Methodologies

  • Canonical GAs
  • Island Models
  • Parallel GAs
  • GAs with Fuzzy Fitness
  • Opposition-Based GAs

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