Evolutionary algorithms for solving multi-modal and multi-objective optimization problems
In artificial intelligence, evolutionary algorithms (EAs) have shown to be effective and robust in solving difficult optimization problems. EAs are generic population-based metaheuristic optimization algorithms. The mechanisms used in EAs are inspired by biological evolution: reproduction, mutation,...
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| Format: | Thesis |
| Language: | English |
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2012
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| Online Access: | https://hdl.handle.net/10356/50679 |