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|Title:||Evolutionary algorithm with dynamic population size for multi-objective optimization|
|Source:||Khor, E.F.,Tan, K.C.,Wang, M.L.,Lee, T.H. (2000). Evolutionary algorithm with dynamic population size for multi-objective optimization. IECON Proceedings (Industrial Electronics Conference) 4 : 2768-2773. ScholarBank@NUS Repository.|
|Abstract:||This paper presents a novel "incremental" multi-objective evolutionary algorithm with dynamic population size that is adaptively computed according to the on-line discovered trade-off surface and its desired population distribution density. It incorporates the method of fuzzy boundary local perturbation with interactive local fine-tuning for broader neighborhood exploration to achieve better convergence as well as discovering any gaps or missing trade-off regions and each generation. The effectiveness of the proposed methodology is validated upon a benchmark multi-objective optimization problem.|
|Source Title:||IECON Proceedings (Industrial Electronics Conference)|
|Appears in Collections:||Staff Publications|
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