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In computer science evolutionary computation is a subfield of artificial intelligence (more particularly computational intelligence) involving combinatorial optimization problems.

Whereas evolutionary algorithms generally only involve techniques implementing mechanisms such as reproduction, mutation, recombination, natural selection and survival of the fittest, evolutionary computation can be loosely recognised by the following criteria:

This mostly involves metaheuristic optimization algorithms such as:

and in a lesser extent also:

  • self-organization such as self-organizing maps, growing neural gas, competitive learning

demo applet

  • differential evolution
  • artificial life (also see digital organism)
  • cultural algorithms
  • artificial immune systems

Major Conferences and Workshops

  • The Genetic and Evolutionary Computation Conference (GECCO)
  • IEEE Congress on Evolutionary Computation (CEC)
  • Parallel Problem Solving from Nature (PPSN)
  • The Foundations of Genetic Algorithms workshop (FOGA)
  • The Workshop on Ant Colony optimization and Swarm Intellligence (ANTS)
  • The Evo* and EuroGP [workshops]

Journals

References

ca:Computació evolutiva es:Computación evolutiva pt:Computação evolucionária

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