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CEC
2008
IEEE
16 years 1 months ago
Potential and dynamics-based Particle Swarm Optimization
Abstract— The Particle Swarm Optimization (PSO) algorithm is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms. This paper p...
Hyungmin Park, Jong-Hwan Kim
CEC
2008
IEEE
16 years 1 months ago
Decentralised distributed multiple objective particle swarm optimisation using peer to peer networks
—This paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more tradition...
Ian Scriven, Andrew Lewis, David Ireland, Junwei L...
CEC
2008
IEEE
16 years 1 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
CEC
2008
IEEE
16 years 1 months ago
Crossover operators to control size growth in linear GP and variable length GAs
— In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhibit large degrees of redundancy and corresponding undue growth. This phenomen...
Dominique Chu, Jonathan E. Rowe
CEC
2008
IEEE
16 years 1 months ago
New evaluation criteria for the convergence of continuous evolutionary algorithms
—The first hitting time (FHT) plays an important role in convergence evaluation for evolutionary algorithms. However, the current criteria of the FHT are mostly under a hypothesi...
Ying Lin, Jian Huang, Jun Zhang