Search results for "computational intelligence optimization"

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Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration

2012

Memetic computing is a subject in computer science which considers complex structures as the combination of simple agents, memes, whose evolutionary interactions lead to intelligent structures capable of problem-solving. This paper focuses on memetic computing optimization algorithms and proposes a counter-tendency approach for algorithmic design. Research in the field tends to go in the direction of improving existing algorithms by combining different methods or through the formulation of more complicated structures. Contrary to this trend, we instead focus on simplicity, proposing a structurally simple algorithm with emphasis on processing only one solution at a time. The proposed algorit…

FOS: Computer and information sciencesComputer Science - Machine LearningInformation Systems and ManagementComputer scienceComputer Science - Artificial Intelligencemedia_common.quotation_subjectEvolutionary algorithmComputational intelligenceField (computer science)Theoretical Computer ScienceMachine Learning (cs.LG)Artificial IntelligenceSimplicitymemetic algorithmsevolutionary algorithmsmedia_common:Engineering::Computer science and engineering [DRNTU]business.industrycomputational intelligence optimizationComputer Science ApplicationsArtificial Intelligence (cs.AI)Control and Systems Engineeringmemetic computing:Engineering::Electrical and electronic engineering [DRNTU]Memetic algorithmAlgorithm designArtificial intelligencebusinessSoftware
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A Study on scale factor in distributed differential evolution.

2011

This paper proposes the employment of multiple scale factor values within distributed differential evolution structures. Four different scale factor schemes are proposed, tested, compared and analyzed. Two schemes simply employ multiple scale factor values and two also include an update logic during the evolution. The four schemes have been integrated for comparison within three recently proposed distributed differential evolution structures and tested on several various test problems. Numerical results show that, on average, the employment of multiple scale factors is beneficial since in most cases it leads to significant improvements in performance with respect to standard distributed alg…

Scheme (programming language)ta113distributed algorithmsMathematical optimizationInformation Systems and ManagementScale (ratio)Computer sciencedifferential evolutionEvolutionary algorithmcomputational intelligence optimizationevolutionary algorithmsstructured populationsScale factorComputer Science ApplicationsTheoretical Computer ScienceArtificial IntelligenceControl and Systems EngineeringSimple (abstract algebra)Distributed algorithmDifferential evolutionoptimization algorithmsscale factorcomputerSoftwarecomputer.programming_language
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