Evolutionary algorithm

In Computer Science, especially in artificial intelligence, evolutionary algorithms are a kind of algorithm that simulate evolution to optimise something. Each generation of solution is subjected to some kind of fitness function; those that survive are then recombined in some way to make the next generation of solution. This is done until a certain level of fitness is reached, or a determined number of generations have been used.

Evolutionary Algorithm Media

A two-population EA search over a constrained Rosenbrock function with bounded global optimum
A two-population EA search over a constrained Rosenbrock function. Global optimum is not bounded.
Estimation of distribution algorithm over Keane's function
A two-population EA search of a bounded optima of Simionescu's function

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