A software framework for fast prototyping of meta-heuristics hybridization
Hybrids of meta-heuristics have been shown to be more effective and adaptable than their parents in solving combinatorial optimization problems. However, hybridized schemes are also more tedious to implement due to their increased complexity. We address this problem by proposing the meta-heuristics...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2007
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Online Access: | https://ink.library.smu.edu.sg/sis_research/1290 http://dx.doi.org/10.1111/j.1475-3995.2007.00578.x |
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Institution: | Singapore Management University |
Language: | English |