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ORCIDToshiharu Hatanaka
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Journal Articles
- 2021
[j3]Heng Xiao, Gen Yokoya, Toshiharu Hatanaka
:
Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm. Int. J. Swarm Intell. Res. 12(3): 172-187 (2021)- [j2]Heng Xiao, Toshiharu Hatanaka:
Model Selecting PSO-FA Hybrid for Complex Function Optimization. Int. J. Swarm Intell. Res. 12(3): 215-232 (2021) - 2008
- [j1]Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization. J. Adv. Comput. Intell. Intell. Informatics 12(3): 297-303 (2008)
Conference and Workshop Papers
- 2019
- [c34]Takeshi Uchitane, Toshiharu Hatanaka:
Development of Evolutionary Design of Experiments to Find Significant Effects for Natural Disaster Prevention. CEC 2019: 3396-3403 - [c33]Gen Yokoya, Heng Xiao, Toshiharu Hatanaka:
Multifactorial optimization using Artificial Bee Colony and its application to Car Structure Design Optimization. CEC 2019: 3404-3409 - [c32]Nobuhiko Kondo, Toshiharu Hatanaka, Takeshi Matsuda:
An Analysis of Learning Processes on Online Notes using Scrapbox. IIAI-AAI 2019: 400-403 - [c31]Heng Xiao, Gen Yokoya, Toshiharu Hatanaka:
Multifactorial PSO-FA Hybrid Algorithm for Multiple Car Design Benchmark. SMC 2019: 1926-1931 - 2018
- [c30]Heng Xiao, Toshiharu Hatanaka:
Hybrid swarm of particle swarm with firefly for complex function optimization. GECCO (Companion) 2018: 73-74 - [c29]Nobuhiko Kondo, Toshiharu Hatanaka:
An Approach for Estimation of Students' Learning States Using Bayesian Network with LMS Log Data. IIAI-AAI 2018: 474-477 - 2017
- [c28]Heng Xiao, Toshiharu Hatanaka:
Hybrid swarm model with changing characteristics of particle swarm and firefly. IFSA-SCIS 2017: 1-6 - [c27]Nobuhiko Kondo, Midori Okubo, Toshiharu Hatanaka:
Early Detection of At-Risk Students Using Machine Learning Based on LMS Log Data. IIAI-AAI 2017: 198-201 - [c26]Satoru Iwasaki, Heng Xiao, Toshiharu Hatanaka, Takeshi Uchitane:
A General Swarm Intelligence Model for Continuous Function Optimization. SEAL 2017: 972-980 - [c25]Satoru Iwasaki, Toshiharu Hatanaka:
A study on estimation of distribution algorithm based on a partial differential equation model. SSCI 2017: 1-6 - 2016
- [c24]Heng Xiao, Toshiharu Hatanaka:
Heterogenous swarm with first and second order dynamics for function optimization. CEC 2016: 2077-2082 - 2015
- [c23]Takeshi Uchitane, Toshiharu Hatanaka:
A study on multi-objective particle swarm model by personal archives with regular graph. CEC 2015: 2685-2690 - 2012
- [c22]Takeshi Uchitane, Toshiharu Hatanaka:
Experimental study for multi-objective PSO with single objective guide selection. IEEE Congress on Evolutionary Computation 2012: 1-6 - 2011
- [c21]Takeshi Uchitane, Toshiharu Hatanaka:
Applying evolution strategies for biped locomotion learning in RoboCup 3D Soccer Simulation. IEEE Congress on Evolutionary Computation 2011: 179-185 - 2007
- [c20]Takeshi Korenaga, Toshiharu Hatanaka, Katsuji Uosaki:
Performance improvement of particle swarm optimization for high-dimensional function optimization. IEEE Congress on Evolutionary Computation 2007: 3288-3293 - [c19]Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
Nonlinear Dynamic System Identification Based on Multiobjectively Selected RBF Networks. MCDM 2007: 122-127 - [c18]Katsuji Uosaki, Toshiharu Hatanaka:
Fault Detection with Evolution Strategies Based Particle Filter and Backward Sequential Probability Ratio Test. KES (1) 2007: 664-671 - 2006
- [c17]Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki:
Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization. IJCNN 2006: 2919-2925 - 2005
- [c16]Katsuji Uosaki, Toshiharu Hatanaka:
Evolution strategies based Gaussian sum particle filter for nonlinear state estimation. Congress on Evolutionary Computation 2005: 2365-2371 - [c15]Katsuji Uosaki, Toshiharu Hatanaka:
Nonlinear State Estimation by Evolution Strategies Based Gaussian Sum Particle Filter. KES (1) 2005: 635-642 - 2004
- [c14]Toshiharu Hatanaka, Yoshio Kawaguchi, Katsuji Uosaki:
Nonlinear system identification based on evolutionary fuzzy modeling. IEEE Congress on Evolutionary Computation 2004: 646-651 - [c13]Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka:
Evolution strategies based particle filters for state and parameter estimation on nonlinear models. IEEE Congress on Evolutionary Computation 2004: 884-890 - [c12]Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka:
Evolution Strategies Based Particle Filters for Nonlinear State Estimation. KES 2004: 1189-1196 - 2003
- [c11]Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Block oriented nonlinear model identification by evolutionary computation approach. CCA 2003: 43-48 - [c10]Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki:
Multi-objective structure selection for radial basis function networks based on genetic algorithm. IEEE Congress on Evolutionary Computation 2003: 1095-1100 - [c9]Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka:
Nonlinear state estimation by evolution strategies based particle filters. IEEE Congress on Evolutionary Computation 2003: 2102-2109 - [c8]Katsuji Uosaki, Toshiharu Hatanaka, Akihiko Yonemochi, Han-Fu Chen:
Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations. ECC 2003: 2951-2955 - [c7]Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, Hidekazu Shigeto:
Neural Network Application to Eggplant Classification. KES 2003: 933-940 - 2002
- [c6]Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Evolutionary computation approach to Wiener model identification. IEEE Congress on Evolutionary Computation 2002: 914-919 - [c5]Toshiharu Hatanaka, Katsuji Uosaki, Norio Manabe:
Structure identification in Takagi-Sugeno fuzzy modeling. FUZZ-IEEE 2002: 69-74 - 2001
- [c4]Toshiharu Hatanaka, Katsuji Uosaki:
Hammerstein model identification method based on genetic programming. CEC 2001: 1430-1435 - [c3]Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga:
Wiener model identification by evolutionary computation approach with piecewise linearization. SMC 2001: 1406-1411 - 1999
- [c2]Toshiharu Hatanaka, Katsuji Uosaki:
Frequency domain approach to optimal auxiliary input design for fault diagnosis. ECC 1999: 1717-1722 - 1996
- [c1]Toshiharu Hatanaka, Katsuji Uosaki, Takayuki Ueta:
Optimal Smoothing of Binary Markov Sequences by Genetic Algorithms and Its Application to Image Restoration. International Conference on Evolutionary Computation 1996: 448-451
Parts in Books or Collections
- 2006
- [p1]Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki:
Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification. Multi-Objective Machine Learning 2006: 491-505
Coauthor Index
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