Understanding particle swarms through simplification: A study of recombinant PSO

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material

Volumn , Issue , 2007, Pages 2621-2628

  Bratton, Daniel ^a   Blackwell, Tim ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Optimisation; Particle swarm optimisation; Particle swarms; Theory

Indexed keywords

COMPUTATION THEORY; COMPUTATIONAL EFFICIENCY; FUNCTION EVALUATION; OPTIMIZATION; RANDOM PROCESSES;

BURSTING PATTERNS; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARMS;

ALGORITHMS;

EID: 34548058582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1274000.1274078     Document Type: Conference Paper

References (8)

1. T. M. Blackwell and D. Bratton. Origin of bursts. In Submitted to Particles swarms: the second decade, workshop, GECCO 2007, 2007.
2. D. Bratton and J. Kennedy. Defining a standard for particle swarm optimization. In IEEE swarm intelligence symposium, 2007.
3. D. K. Gehlhaar and D. B. Fogel. Tuning evolutionary programming. 1996.
4. J. Jaccard and C. Wan. LISREL approaches to interaction effects in multiple regression. Sage Publications, Thousand Oaks, CA, 1996.
5. J. Kennedy. Probability and dynamics in the particle swarm. In IEEE congress on evolutionary computation, pages 340-347, 2004.
6. C. Monson and K. Seppi. Exposing origin-seeking bias in pso. In Proceedings of the 2005 Genetic and Evolutionary Computation Conference, pages 241-248, 2005.
7. J. Pena, A. Upegui, and E. Sanchez. Particle swarm optimization with discrete recombination: an online optimizer for evolvable hardware. In First NASA/ESA conference on adaptive hardware and systems, AHS '06, pages 163-170, 2007.
8. T. Richer and T. Blackwell. The levy particle swarm. In IEEE congress on evolutionary computation, pages 3150-3157, 2006.