Mohammed El-Abd
Mohamed S. Kamel
ABSTRACT
This paper benchmarks the Particle Swarm Optimization (PSO) algorithm using the noise-free BBOB 2009 testbed.
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Cross Ref
- S. Finck, N. Hansen, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions. Technical Report 2009/20, Research Center PPE, 2009.Google Scholar
- N. Hansen, A. Auger, S. Finck, and R. Ros. Real-parameter black-box optimization benchmarking 2009: Experimental setup. Technical Report RR-6828, INRIA, 2009.Google Scholar
- N. Hansen, S. Finck, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions. Technical Report RR-6829, INRIA, 2009.Google Scholar
- J. Kennedy and R. C. Eberhart. Particle swarm optimization. In Proc. of IEEE International Conference on Neural Networks, volume 4, pages 1942--1948, 1995.Google ScholarCross Ref
Index Terms
- Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
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