A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems

DOI10.1016/j.amc.2019.124872zbMath1433.90121OpenAlexW2988423815WikidataQ126832737 ScholiaQ126832737MaRDI QIDQ2287600

Xuehua Zhao, Mingjing Wang, Hui ling Chen

Publication date: 21 January 2020

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2019.124872

zbMATH Keywords

differential evolutionopposition-based learningchaotic local searchCauchy mutation operatorconstrained mathematical modelingmemetic sine cosine algorithm

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• JADE
• WOA
• ALO
• GOA
• GSA
• MOALO

Cites Work

• Unnamed Item
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• Upper and lower bounds for randomized search heuristics in black-box optimization
• An empirical study about the usefulness of evolution strategies to solve constrained optimization problems
• Firefly Algorithms for Multimodal Optimization
• A study of mathematical programmingmethods for structural optimization. Part II: Numerical results
• Introduction to Stochastic Search and Optimization
• An improved ant colony optimization for constrained engineering design problems

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