Synchronous and asynchronous Pareto-based multi-objective artificial bee colony algorithms

DOI10.1007/s10898-012-9993-1zbMath1315.90040OpenAlexW1996004206MaRDI QIDQ377752

Bahriye Akay

Publication date: 7 November 2013

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-012-9993-1

zbMATH Keywords

multi-objective optimizationartificial bee colony algorithmnon-dominated sortingPareto-dominance

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Sensitivity, stability, parametric optimization (90C31) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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Uses Software

• EMOO
• PAES
• MOEA/D
• SPEA2
• ABC

Cites Work

• Learning and intelligent optimization. 5th international conference, LION 5, Rome, Italy, January 17--21, 2011. Selected papers
• Embedded filter bank-based algorithm for ECG compression
• A comparative study of artificial bee colony algorithm
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• Applications of Multi-Objective Evolutionary Algorithms
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