Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization
Solving complex optimization problems can be painstakingly difficult endeavor considering multiple and conflicting design goals. A growing trend in utilizing meta-heuristic algorithms to solve these problems has been observed as they have shown considerable success in dealing with tradeoffs between...
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/23080/1/Enhancing%20generality%20of%20meta-heuristic%20algorithms%20through%20adaptive%20selection%20and%20hybridization.pdf http://umpir.ump.edu.my/id/eprint/23080/ https://ieeexplore.ieee.org/abstract/document/8350825 |
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