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CEC
2009
IEEE
8 years 9 months ago
Optimisation of the Beer Distribution Game with complex customer demand patterns
This paper examines a simulation of the Beer Distribution Game and a number of optimisation approaches to this game. This well known game was developed at MIT in the 1960s and has ...
Hongliang Liu, Enda Howley, Jim Duggan
TEC
2002
183views more  TEC 2002»
8 years 11 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
JUCS
2007
186views more  JUCS 2007»
8 years 11 months ago
An Hybrid Fuzzy Variable Neighborhood Particle Swarm Optimization Algorithm for Solving Quadratic Assignment Problems
: Recently, Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems. A quick review of the literature reveals that re...
Hongbo Liu, Ajith Abraham
GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
9 years 1 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
9 years 1 months ago
Social interaction in particle swarm optimization, the ranked FIPS, and adaptive multi-swarms
The interaction among particles is a vital aspect of Particle Swarm Optimization. As such, it has a strong influence on the swarm’s success. In this study various approaches re...
Johannes Jordan, Sabine Helwig, Rolf Wanka
ICMLA
2004
9 years 1 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
EVOW
2008
Springer
9 years 1 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
EUROGP
2007
Springer
171views Optimization» more  EUROGP 2007»
9 years 1 months ago
Geometric Particle Swarm Optimisation
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of traditional particle swarm optimization (PSO) that applies naturally to both continu...
Alberto Moraglio, Cecilia Di Chio, Riccardo Poli
CEC
2005
IEEE
9 years 1 months ago
Making soccer kicks better: a study in particle swarm optimization and evolution strategies
Biomechanics is a science of examining the internal and external forces on the human body. In biomechanics, forward dynamics simulation models can be used to study optimal control ...
Namrata Khemka, Christian Jacob, Gerald Cole
GECCO
2006
Springer
187views Optimization» more  GECCO 2006»
9 years 3 months ago
The gregarious particle swarm optimizer (G-PSO)
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
Srinivas Pasupuleti, Roberto Battiti
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