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Evolutionary algorithm
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Artificial development Artificial life Cellular evolutionary algorithm Cultural algorithm Differential evolution Effective fitness Evolutionary computation Evolution strategy Gaussian adaptation Grammar induction Evolutionary multimodal optimization Particle swarm optimization Memetic algorithm Natural evolution strategy Neuroevolution Promoter based genetic algorithm Spiral optimization algorithm Self-modifying code Polymorphic code
Genetic algorithm
Chromosome Clonal selection algorithm Crossover Mutation Genetic memory Genetic fuzzy systems Selection Fly algorithm
Genetic programming
Cartesian genetic programming Linear genetic programming Grammatical evolution Multi expression programming Genetic Improvement Schema Eurisko Parity benchmark
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Natural evolution strategies (NES) are a family of numerical optimization algorithms for black box problems. Similar in spirit to evolution strategies, they iteratively update the (continuous) parameters of a search distribution by following the natural gradient towards higher expected fitness.