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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP 2011-01-25
15:00		 Hokkaido Hokakido Univ. A Proposal of Evolutionary Particle Swarm Optimizer with Inertia Weight
Hong Zhang (K.I.T.) NLP2010-151 NC2010-115		 In this paper, we propose an evolutionary particle swarm optimizer with inertia weight (EPSOIW) for obtaining the PSOIW ... [more] NLP2010-151 NC2010-115
pp.153-158
NC, MBE
(Joint)		 2008-03-14
14:50		 Tokyo Tamagawa Univ Model Selection of Canonical Particle Swarm Optimizer by EPSO: Meta-Optimization
Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-196		 We have proposed Evolutionary Particle Swarm Optimization, EPSO, which can estimate PSO models for efficiently solving v... [more] NC2007-196
pp.495-500
NC 2007-06-15
14:25		 Okinawa OIST Seaside House Verification Test on The Effectiveness of Evolutionary Particle Swarm Optimization
Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-23		 Since optimizing the values of parameters in Particle Swarm Optimization
(PSO) can improve its performance of finding a... [more]		 NC2007-23
pp.85-90
NC 2007-03-16
15:10		 Tokyo Tamagawa University Evolutionary Design of Particle Swarm Optimization Using Real-Coded Genetic Algorithm
Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) 		Particle Swarm Optimization (PSO) is a stochastic and population-based search algorithm that demonstrates its effctivene... [more] NC2006-198
pp.65-70
NC 2006-06-16
10:10		 Okinawa OIST A Method of Data Classification of Bagging Using HRGA/P and Its Applications
Hong Zhang, Masumi Ishikawa (K.I.T.) 		To obtain a classification model with high generalization ability, we propose to use a hybrid real-coded genetic algorit... [more] NC2006-25
pp.19-24
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