Evolutionary programming is a population-based stochastic optimization method in which candidate solutions are mutated, evaluated by a fitness function, and selected to form the next generation. Unlike genetic algorithms, its classical form emphasizes mutation and selection rather than recombination.
Evolutionary Programming
See also
Genetic Algorithm, Optimization Theory, Stochastic OptimizationExplore with Wolfram|Alpha
References
Fogel, D. B. Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 3rd ed. Hoboken, NJ: Wiley, 2006.Cite this as:
Weisstein, Eric W. "Evolutionary Programming." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/EvolutionaryProgramming.html