Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX
This paper presents a performance study of a real-parameter genetic algorithm (SPC-PNX) on a new benchmark of real-parameter optimisation problems. This benchmark provides a systematic way to compare different optimisation methods on exactly the same test problems. These problems were designed to be...
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| creator | Ballester, P.J. Stephenson, J. Carter, J.N. Gallagher, K. |
| description | This paper presents a performance study of a real-parameter genetic algorithm (SPC-PNX) on a new benchmark of real-parameter optimisation problems. This benchmark provides a systematic way to compare different optimisation methods on exactly the same test problems. These problems were designed to be hard as they incorporate features that have been shown to pose great difficulty to many optimisation methods |
| doi_str_mv | 10.1109/CEC.2005.1554724 |
| format | Conference Proceeding |
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| ispartof | 2005 IEEE Congress on Evolutionary Computation, 2005, Vol.1, p.498-505 Vol.1 |
| issn | 1089-778X 1941-0026 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Benchmark testing Design optimization Evolutionary computation Genetic algorithms Genetic engineering Geoscience Optimization methods Performance analysis System testing |
| title | Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX |
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