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» EcoPS: a particle swarm algorithm to model group-foraging
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GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 10 months ago
EcoPS: a particle swarm algorithm to model group-foraging
Recent work has introduced a simulation model of ecological processes in terms of a very simple Particle Swarm algorithm. This abstract model produced qualitatively realistic beha...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio
ANTSW
2006
Springer
13 years 8 months ago
Extending the Particle Swarm Algorithm to Model Animal Foraging Behaviour
The particle swarm algorithm contains elements which map fairly strongly to the foraging problem in behavioural ecology. In this paper, we show how some simple adaptions to the sta...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio
TEC
2002
183views more  TEC 2002»
13 years 4 months ago
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
Abstract--The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. Even though t...
Maurice Clerc, James Kennedy
CEC
2009
IEEE
13 years 11 months ago
Heterogeneous particle swarm optimizers
— Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. Du...
Marco Antonio Montes de Oca, Jorge Peña, Th...
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 8 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule