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Ant colony optimization|Bayesian and credal network|Genetic algorithms|Tabu search|Simulation
Genetic algorithms

Genetic algorithms were developed by John Holland in 1975. They emulate the principle of the survival of the fittest we observe in the process of natural evolution. Genetic algorithms encode problems into a string data structure called chromosome, and apply genetic operators such as selection, crossover, and mutation to form a search algorithm. They require no domain knowledge - only a performance evaluation function and they use probabilistic transition rules to direct the search. This feature makes genetic algorithms very well suited to solve problems which lack a precise description of the search domain.

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