Evolutionary programming

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Evolutionary algorithm
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Genetic algorithm (GA)
Chromosome Clonal selection algorithm Fly algorithm Genetic fuzzy systems Genetic memory Schema Promoter based GA
Genetic programming (GP)
Cartesian GP Linear GP Gene expression programming Grammatical evolution Multi expression programming
Differential evolution
Evolution strategy
Evolutionary programming
Related topics
Cellular EA Cultural algorithm Effective fitness Evolutionary computation Gaussian adaptation Grammar induction Evolutionary multimodal optimization Memetic algorithm Neuroevolution
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Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover.^[1][2] Evolutionary programming differs from evolution strategy ES(${\displaystyle \mu +\lambda }$) in one detail.^[1] All individuals are selected for the new population, while in ES(${\displaystyle \mu +\lambda }$), every individual has the same probability to be selected. It is one of the four major evolutionary algorithm paradigms.^[3]