Memetic Algorithm with Constrained Local Search for Large-Scale Global Optimization
Nature-inspired algorithms are seen as potential tools to solve large-scale global optimization problems. Memetic algorithms (MAs) are nature-inspired techniques based on evolutionary computation. MAs are considered as modified genetic algorithms integrated with a local search mechanism. Conventiona...
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| Format: | Article |
| Language: | English |
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De Gruyter
2017-04-01
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| Series: | Journal of Intelligent Systems |
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| Online Access: | https://doi.org/10.1515/jisys-2015-0103 |