Toshiharu Hatanaka

40 papers A 1B 21C 1Journal 3Unranked 13
YearRankTypeTitle / Venue / Authors
2025 A conf
Scalarization-based Exploratory Landscape Analysis for Multi-Objective Continuous Optimization Problems.
GECCO
Shuhei Tanaka, Shoichiro Tanaka, Toshiharu Hatanaka
2021 J jnl
Model Selecting PSO-FA Hybrid for Complex Function Optimization.
Int. J. Swarm Intell. Res.
Heng Xiao, Toshiharu Hatanaka
2021 J jnl
Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm.
Int. J. Swarm Intell. Res.
Heng Xiao, Gen Yokoya, Toshiharu Hatanaka
2019 — conf
An Analysis of Learning Processes on Online Notes using Scrapbox.
IIAI-AAI
Nobuhiko Kondo, Toshiharu Hatanaka, Takeshi Matsuda
2019 B conf
Development of Evolutionary Design of Experiments to Find Significant Effects for Natural Disaster Prevention.
CEC
Takeshi Uchitane, Toshiharu Hatanaka
2019 B conf
Multifactorial PSO-FA Hybrid Algorithm for Multiple Car Design Benchmark.
SMC
Heng Xiao, Gen Yokoya, Toshiharu Hatanaka
2019 B conf
Multifactorial optimization using Artificial Bee Colony and its application to Car Structure Design Optimization.
CEC
Gen Yokoya, Heng Xiao, Toshiharu Hatanaka
2018 — conf
An Approach for Estimation of Students' Learning States Using Bayesian Network with LMS Log Data.
IIAI-AAI
Nobuhiko Kondo, Toshiharu Hatanaka
2018 — conf
Hybrid swarm of particle swarm with firefly for complex function optimization.
GECCO (Companion)
Heng Xiao, Toshiharu Hatanaka
2017 — conf
A General Swarm Intelligence Model for Continuous Function Optimization.
SEAL
Satoru Iwasaki, Heng Xiao, Toshiharu Hatanaka, Takeshi Uchitane
2017 — conf
A study on estimation of distribution algorithm based on a partial differential equation model.
SSCI
Satoru Iwasaki, Toshiharu Hatanaka
2017 — conf
Early Detection of At-Risk Students Using Machine Learning Based on LMS Log Data.
IIAI-AAI
Nobuhiko Kondo, Midori Okubo, Toshiharu Hatanaka
2017 — conf
Hybrid swarm model with changing characteristics of particle swarm and firefly.
IFSA-SCIS
Heng Xiao, Toshiharu Hatanaka
2016 B conf
Heterogenous swarm with first and second order dynamics for function optimization.
CEC
Heng Xiao, Toshiharu Hatanaka
2015 B conf
A study on multi-objective particle swarm model by personal archives with regular graph.
CEC
Takeshi Uchitane, Toshiharu Hatanaka
2012 B conf
Experimental study for multi-objective PSO with single objective guide selection.
IEEE Congress on Evolutionary Computation
Takeshi Uchitane, Toshiharu Hatanaka
2011 B conf
Applying evolution strategies for biped locomotion learning in RoboCup 3D Soccer Simulation.
IEEE Congress on Evolutionary Computation
Takeshi Uchitane, Toshiharu Hatanaka
2008 J jnl
RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization.
J. Adv. Comput. Intell. Intell. Informatics
Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki
2007 — conf
Fault Detection with Evolution Strategies Based Particle Filter and Backward Sequential Probability Ratio Test.
KES (1)
Katsuji Uosaki, Toshiharu Hatanaka
2007 — conf
Nonlinear Dynamic System Identification Based on Multiobjectively Selected RBF Networks.
MCDM
Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki
2007 B conf
Performance improvement of particle swarm optimization for high-dimensional function optimization.
IEEE Congress on Evolutionary Computation
Takeshi Korenaga, Toshiharu Hatanaka, Katsuji Uosaki
2006 — ch.
Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification.
Multi-Objective Machine Learning
Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki
2006 B conf
Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization.
IJCNN
Nobuhiko Kondo, Toshiharu Hatanaka, Katsuji Uosaki
2005 B conf
Evolution strategies based Gaussian sum particle filter for nonlinear state estimation.
Congress on Evolutionary Computation
Katsuji Uosaki, Toshiharu Hatanaka
2005 — conf
Nonlinear State Estimation by Evolution Strategies Based Gaussian Sum Particle Filter.
KES (1)
Katsuji Uosaki, Toshiharu Hatanaka
2004 B conf
Evolution Strategies Based Particle Filters for Nonlinear State Estimation.
KES
Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka
2004 B conf
Evolution strategies based particle filters for state and parameter estimation on nonlinear models.
IEEE Congress on Evolutionary Computation
Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka
2004 B conf
Nonlinear system identification based on evolutionary fuzzy modeling.
IEEE Congress on Evolutionary Computation
Toshiharu Hatanaka, Yoshio Kawaguchi, Katsuji Uosaki
2003 C conf
Block oriented nonlinear model identification by evolutionary computation approach.
CCA
Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga
2003 B conf
Eggplant classification using artificial neural network.
IJCNN
Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, Kazuhide Shigeto
2003 — conf
Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations.
ECC
Katsuji Uosaki, Toshiharu Hatanaka, Akihiko Yonemochi, Han-Fu Chen
2003 B conf
Multi-objective structure selection for radial basis function networks based on genetic algorithm.
IEEE Congress on Evolutionary Computation
Toshiharu Hatanaka, Nobuhiko Kondo, Katsuji Uosaki
2003 B conf
Neural Network Application to Eggplant Classification.
KES
Yasuo Saito, Toshiharu Hatanaka, Katsuji Uosaki, Hidekazu Shigeto
2003 B conf
Nonlinear state estimation by evolution strategies based particle filters.
IEEE Congress on Evolutionary Computation
Katsuji Uosaki, Yuuya Kimura, Toshiharu Hatanaka
2002 B conf
Evolutionary computation approach to Wiener model identification.
IEEE Congress on Evolutionary Computation
Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga
2002 B conf
Structure identification in Takagi-Sugeno fuzzy modeling.
FUZZ-IEEE
Toshiharu Hatanaka, Katsuji Uosaki, Norio Manabe
2001 B conf
Hammerstein model identification method based on genetic programming.
CEC
Toshiharu Hatanaka, Katsuji Uosaki
2001 B conf
Wiener model identification by evolutionary computation approach with piecewise linearization.
SMC
Toshiharu Hatanaka, Katsuji Uosaki, Masazumi Koga
1999 — conf
Frequency domain approach to optimal auxiliary input design for fault diagnosis.
ECC
Toshiharu Hatanaka, Katsuji Uosaki
1996 — conf
Optimal Smoothing of Binary Markov Sequences by Genetic Algorithms and Its Application to Image Restoration.
International Conference on Evolutionary Computation
Toshiharu Hatanaka, Katsuji Uosaki, Takayuki Ueta