A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I
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Title
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Volume 26, Issue 5, Pages 802-822
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2021-11-26
DOI
10.1109/tevc.2021.3130838
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- (2017) Kalyanmoy Deb et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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- (2017) Alberto Cano et al. INFORMATION SCIENCES
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