Evolutionary algorithm
In computational intelligence (CI), an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function). Evolution of the population then takes place after the repeated application of the above operators.
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3D Virtual Creature EvolutionAdaptive coordinate descentAdaptive dimensional searchAgent-based modelAlgorithm selectionAlgorithmic compositionAlgorithmic skeletonAlgorithmic techniqueAnt colony optimization algorithmsApplications of evolutionArtificial creationArtificial evolutionArtificial imaginationArtificial intelligenceArtificial lifeArtificial neural networkArtificial societyAudio watermarkAutomatic label placementAvishai HenikB. D. KulkarniBELBICBabak HodjatBio-inspired computingBiocyberneticsBiogeography-based optimizationBlondie24Blue Brain ProjectCMA-ESCellular evolutionary algorithmChatbotChen GuanrongCluster analysisComputational intelligenceComputational tools for artificial intelligenceComputer-automated designComputer virusConjoint analysisConstructive cooperative coevolutionConstructive heuristic
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Evolutionary algorithm
In computational intelligence (CI), an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function). Evolution of the population then takes place after the repeated application of the above operators.
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In computational intelligence ...... lexity and problem complexity.
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1,025,563,184
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January 2018
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Why are swarm algorithms associated with evolutionary ones?
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In computational intelligence ...... cation of the above operators.
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Evolutionary algorithm
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