An Efficient Generalized Multiobjective Evolutionary Algorithm and Its Applications
碩士 === 逢甲大學 === 資訊工程學系 === 87 === This thesis proposes an efficient generalized multiobjective evolutionary algorithm (GMOEA) using orthogonal arrays for finding all nondominated solutions of multiobjective optimization problems (MOOPs). In the proposed algorithm, a novel generalized Pare...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
1999
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| Online Access: | http://ndltd.ncl.edu.tw/handle/00683248016113848960 |