Hybrid Metaheuristics for Multi-Objective Optimization
Over the last two decades, interest on hybrid metaheuristics has risen considerably in the field of multi-objective optimization (MOP). The best results found for many real-life or academic multi-objective optimization problems are obtained by hybrid algorithms. Combinations of algorithms such as me...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2015-03-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1260/1748-3018.9.1.41 |