Multiobjective Optimization Algorithm Benchmarking and Design Under Parameter Uncertainty
This research aims to improve our understanding of multiobjective optimization, by comparing the performance of five multiobjective optimization algorithms, and by proposing a new formulation to consider input uncertainty in multiobjective optimization problems. Four deterministic multiobjective opt...
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| Format: | Others |
| Language: | en en |
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2009
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| Online Access: | http://hdl.handle.net/1974/2586 |