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» Inertial geometric particle swarm optimization
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GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
13 years 11 months ago
Geometric differential evolution
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, Julian Togelius
MICAI
2005
Springer
13 years 10 months ago
Hybrid Particle Swarm - Evolutionary Algorithm for Search and Optimization
Particle Swarm Optimization (PSO) technique has proved its ability to deal with very complicated optimization and search problems. Several variants of the original algorithm have b...
Crina Grosan, Ajith Abraham, Sangyong Han, Alexand...
SYNASC
2005
IEEE
110views Algorithms» more  SYNASC 2005»
13 years 10 months ago
Performance Tuning of Evolutionary Algorithms Using Particle Sub Swarms
Particle Swarm Optimization (PSO) technique proved its ability to deal with very complicated optimization and search problems. This paper proposes a new particle swarm variant whi...
Crina Grosan, Ajith Abraham, Monica Nicoara
AMC
2007
154views more  AMC 2007»
13 years 4 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
CEC
2010
IEEE
13 years 5 months ago
Geometric Nelder-Mead Algorithm for the permutation representation
The Nelder-Mead Algorithm (NMA) is an almost half-century old method for numerical optimization, and it is a close relative of Particle Swarm Optimization (PSO) and Differential Ev...
Alberto Moraglio, Julian Togelius