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2008
Springer
13 years 7 months ago
An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation
Abstract. This work merges ideas from two very different areas: Particle Swarm Optimisation and Evolutionary Game Theory. In particular, we are looking to integrate strategies from...
Cecilia Di Chio, Paolo Di Chio, Mario Giacobini
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 9 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
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...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 10 months ago
Exploring extended particle swarms: a genetic programming approach
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
CEC
2009
IEEE
13 years 10 months ago
LoCost: A spatial social network algorithm for multi-objective optimisation
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of problems in engineering design and scientific investigation. While readily adapted to singleo...
Andrew Lewis