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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
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
CEC
2010
IEEE
13 years 6 months ago
Accelerated optimisation of chemotherapy dose schedules using fitness inheritance
Abstract-- Cancer treatment by chemotherapy involves multiple applications of toxic drugs over a period of time. Optimising the schedule of these treatments can improve the outcome...
Robert Barbour, David W. Corne, John A. W. McCall
CEC
2009
IEEE
13 years 9 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
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