Paralelní evoluční algoritmy pro vícekriteriální optimalizaci
In the present work we study the options for parallelization of evolutionary algorithms for multiobjective optimization (MOGA). We provide the overview of existing sequential and parallel MOGAs and we propose three other methods: FCMOGA - MOGA with fuzzy constraints, HIMOGA - heterogeneous island MO...
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| Format: | Dissertation |
| Language: | English |
| Published: |
2009
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| Online Access: | http://www.nusl.cz/ntk/nusl-275246 |