Evolutionary Computation

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Evolutionary Computation From Wikipedia, the free encyclopedia

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

Evolutionary computation uses iterative progress, such as growth or development in a population. This population is then selected in a guided random search using parallel processing to achieve the desired end. Such processes are often inspired by biological mechanisms of evolution.

Major Journals

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