Enhancing artificial bee colony algorithm with multi-elite guidance

DOI10.1016/J.INS.2020.07.037zbMath1475.68364OpenAlexW3043990277WikidataQ113295110 ScholiaQ113295110MaRDI QIDQ2053894

Jiaxin Lu, Xinyu Zhou, Junhong Huang, Maosheng Zhong, Mingwen Wang

Publication date: 30 November 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.07.037

zbMATH Keywords

neighborhood searchartificial bee colonysolution search equationmulti-elite guidance

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (4)

Decomposition-based multiobjective optimization for nonlinear equation systems with many and infinitely many roots ⋮ Artificial bee colony algorithm based on adaptive neighborhood topologies ⋮ A modified Lévy flight distribution for solving high-dimensional numerical optimization problems ⋮ Fractional-order artificial bee colony algorithm with application in robot path planning

Uses Software

• ABC
• CEC 13
• ElementRank

Cites Work

• Multi-strategy ensemble artificial bee colony algorithm
• Gbest-guided artificial bee colony algorithm for numerical function optimization
• A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization
• A modified artificial bee colony algorithm
• Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems
• Cellular artificial bee colony algorithm with Gaussian distribution
• An effective refined artificial bee colony algorithm for numerical optimisation
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

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