Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX

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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Hauptverfasser: Ballester, P.J., Stephenson, J., Carter, J.N., Gallagher, K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Benchmark testing
Design optimization
Evolutionary computation
Genetic algorithms
Genetic engineering
Geoscience
Optimization methods
Performance analysis
System testing
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Beschreibung
Zusammenfassung: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
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2005.1554724