Multimodal Optimization is a subfield of global optimization that specifically addresses the identification and characterization of multiple distinct optimal solutions within a search space, distinguishing itself from unimodal optimization by targeting problems with inherently multiple global or local optima.
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Evolutionary programming made faster
Xin Yao, Yong Liu, Guangming Lin · IEEE Transactions on Evolutionary Computation · 1999 · 3.9K citations
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Zhengzhou University
Zhengzhou, China
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Singapore, Singapore
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City University of Hong Kong
Hong Kong, Hong Kong
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31 publications
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Xidian University
Xi'an, China
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Zhengzhou, China
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33 publications
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Southern University of Science and Technology
Shenzhen, China
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29 publications
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South China University of Technology
Guangzhou, China
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65 publications
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Oklahoma State University
Stillwater, United States
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