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» Geometric Particle Swarm Optimisation
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EUROGP
2005
Springer
117views Optimization» more  EUROGP 2005»
13 years 10 months ago
Extending Particle Swarm Optimisation via Genetic Programming
Abstract. Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage ...
Riccardo Poli, William B. Langdon, Owen Holland
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 8 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
CEC
2008
IEEE
13 years 11 months ago
On the scalability of particle swarm optimisation
— Particle swarm has proven to be competitive to other evolutionary algorithms in the field of optimization, and in many cases enables a faster convergence to the ideal solution...
Sébastien Piccand, Michael O'Neill, Jacquel...
PPSN
2004
Springer
13 years 10 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 8 months ago
Adaptively choosing niching parameters in a PSO
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
Stefan Bird, Xiaodong Li