Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization

Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009

Volumn 2009-January, Issue , 2009, Pages 2269-2273

  El Abd, Mohammed ^a   Kamel, Mohamed S ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

benchmarking; black box optimization; evolutionary computation; particle swarm optimization

Indexed keywords

BENCHMARKING; CALCULATIONS; TESTBEDS;

BLACK-BOX OPTIMIZATION; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATION ALGORITHM; SWARM OPTIMIZATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77955929634     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1570256.1570316     Document Type: Conference Paper

References (5)

1. R. C. Eberhart and J. Kennedy. A new optimizer using particle swarm theory. In Proc. of the 6th International Symposium on Micro Machine and Human Science, pages 39-43, 1995.
2. 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.
3. N. Hansen, A. Auger, S. Finck, and R. Ros. Real-parameter black-box optimization benchmarking 2009: Experimental setup. Technical Report RR-6828, INRIA, 2009.
4. 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.
5. J. Kennedy and R. C. Eberhart. Particle swarm optimization. In Proc. of IEEE International Conference on Neural Networks, volume 4, pages 1942-1948, 1995.