Probabilistic properties of fitness-based quasi-reflection in evolutionary algorithms

DOI10.1016/J.COR.2015.03.013zbMath1349.90855OpenAlexW1997555206MaRDI QIDQ342044

Dan Simon, Mehmet Ergezer

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2015.03.013

zbMATH Keywords

evolutionary algorithmsoppositioncontinuous optimizationfitness-based quasi-reflection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

A novel generalized oppositional biogeography-based optimization algorithm: application to peak to average power ratio reduction in OFDM systems ⋮ An evolutionary algorithm using spherical inversions

Uses Software

• ABC
• CEC 13

Cites Work

• Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning
• Ecogeography-based optimization: enhancing biogeography-based optimization with ecogeographic barriers and differentiations
• Constrained optimization using CODEQ
• An analysis of the equilibrium of migration models for biogeography-based optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
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• Unnamed Item

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