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 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
15:50
Okinawa Okinawa Institute of Science and Technology Use of Multiple Particle Swarm Optimizers with Sensors on Solving Tracking Problems
Hiroshi Sho (KIT) NC2018-7
For realizing better search performance and efficiency, in this paper, author proposes three methods which are multiple ... [more] NC2018-7
pp.9-14
MBE, NC, NLP
(Joint)
2018-01-27
13:35
Fukuoka Kyushu Institute of Technology The Search Feature of Particle Swarm Optimizer with Sensors in Dynamic Environment
Hiroshi Sho (KIT) NC2017-63
In order to perform the search of particle swarm optimizer under dynamic environment, as a previous study, author has pr... [more] NC2017-63
pp.77-82
HCS 2016-08-20
17:10
Kyoto   The Performance Verification of Particle Swarm Optimizer with Sensors
Hiroshi Sho (KyuTech) HCS2016-52
For improving the search performance of basic particle swarm optimizers in dynamic environments, in this paper, we propo... [more] HCS2016-52
pp.121-126
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 2008-01-15
15:20
Hokkaido Centennial Hall, Hokkaido Univ. A Proposal of Particle Swarm Optimization with Diversive Curiosity
Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-92
How to keep a balance between exploitation and exploration in Particle Swarm Optimization (PSO) search for efficiently s... [more] NC2007-92
pp.31-36
 Results 1 - 6 of 6  /   
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