Optimal Smoothing of Binary Markov Sequences by Genetic Algorithms and Its Application to Image Restoration. - Toshiharu Hatanaka; Katsuji Uosaki; Takayuki Ueta (International Conference on Evolutionary Computation, 1996)

Frequency domain approach to optimal auxiliary input design for fault diagnosis. - Toshiharu Hatanaka; Katsuji Uosaki (ECC, 1999)

Hammerstein model identification method based on genetic programming. - Toshiharu Hatanaka; Katsuji Uosaki (CEC, 2001)

Wiener model identification by evolutionary computation approach with piecewise linearization. - Toshiharu Hatanaka; Katsuji Uosaki; Masazumi Koga (SMC, 2001)

Evolutionary computation approach to Wiener model identification. - Toshiharu Hatanaka; Katsuji Uosaki; Masazumi Koga (IEEE Congress on Evolutionary Computation, 2002)

Structure identification in Takagi-Sugeno fuzzy modeling. - Toshiharu Hatanaka; Katsuji Uosaki; Norio Manabe (FUZZ-IEEE, 2002)

Block oriented nonlinear model identification by evolutionary computation approach. - Toshiharu Hatanaka; Katsuji Uosaki; Masazumi Koga (CCA, 2003)

Multi-objective structure selection for radial basis function networks based on genetic algorithm. - Toshiharu Hatanaka; Nobuhiko Kondo; Katsuji Uosaki (IEEE Congress on Evolutionary Computation, 2003)

Nonlinear state estimation by evolution strategies based particle filters. - Katsuji Uosaki; Yuuya Kimura; Toshiharu Hatanaka (IEEE Congress on Evolutionary Computation, 2003)

Function optimization by simultaneous perturbation stochastic approximation with randomly varying truncations. - Katsuji Uosaki; Toshiharu Hatanaka; Akihiko Yonemochi; Han-Fu Chen (ECC, 2003)

Eggplant classification using artificial neural network. - Yasuo Saito; Toshiharu Hatanaka; Katsuji Uosaki; Kazuhide Shigeto (IJCNN, 2003)

Neural Network Application to Eggplant Classification. - Yasuo Saito; Toshiharu Hatanaka; Katsuji Uosaki; Hidekazu Shigeto (KES, 2003)

Nonlinear system identification based on evolutionary fuzzy modeling. - Toshiharu Hatanaka; Yoshio Kawaguchi; Katsuji Uosaki (IEEE Congress on Evolutionary Computation, 2004)

Evolution strategies based particle filters for state and parameter estimation on nonlinear models. - Katsuji Uosaki; Yuuya Kimura; Toshiharu Hatanaka (IEEE Congress on Evolutionary Computation, 2004)

Evolution Strategies Based Particle Filters for Nonlinear State Estimation. - Katsuji Uosaki; Yuuya Kimura; Toshiharu Hatanaka (KES, 2004)

Evolution strategies based Gaussian sum particle filter for nonlinear state estimation. - Katsuji Uosaki; Toshiharu Hatanaka (Congress on Evolutionary Computation, 2005)

Nonlinear State Estimation by Evolution Strategies Based Gaussian Sum Particle Filter. - Katsuji Uosaki; Toshiharu Hatanaka (KES (1), 2005)

Pattern Classification by Evolutionary RBF Networks Ensemble Based on Multi-objective Optimization. - Nobuhiko Kondo; Toshiharu Hatanaka; Katsuji Uosaki (IJCNN, 2006)

Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification. - Toshiharu Hatanaka; Nobuhiko Kondo; Katsuji Uosaki (Multi-Objective Machine Learning, 2006)

Performance improvement of particle swarm optimization for high-dimensional function optimization. - Takeshi Korenaga; Toshiharu Hatanaka; Katsuji Uosaki (IEEE Congress on Evolutionary Computation, 2007)

Nonlinear Dynamic System Identification Based on Multiobjectively Selected RBF Networks. - Nobuhiko Kondo; Toshiharu Hatanaka; Katsuji Uosaki (MCDM, 2007)

Fault Detection with Evolution Strategies Based Particle Filter and Backward Sequential Probability Ratio Test. - Katsuji Uosaki; Toshiharu Hatanaka (KES (1), 2007)

RBF Networks Ensemble Construction based on Evolutionary Multi-objective Optimization. - Nobuhiko Kondo; Toshiharu Hatanaka; Katsuji Uosaki (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Applying evolution strategies for biped locomotion learning in RoboCup 3D Soccer Simulation. - Takeshi Uchitane; Toshiharu Hatanaka (IEEE Congress on Evolutionary Computation, 2011)

Experimental study for multi-objective PSO with single objective guide selection. - Takeshi Uchitane; Toshiharu Hatanaka (IEEE Congress on Evolutionary Computation, 2012)

A study on multi-objective particle swarm model by personal archives with regular graph. - Takeshi Uchitane; Toshiharu Hatanaka (CEC, 2015)

Heterogenous swarm with first and second order dynamics for function optimization. - Heng Xiao; Toshiharu Hatanaka (CEC, 2016)

Hybrid swarm model with changing characteristics of particle swarm and firefly. - Heng Xiao; Toshiharu Hatanaka (IFSA-SCIS, 2017)

Early Detection of At-Risk Students Using Machine Learning Based on LMS Log Data. - Nobuhiko Kondo; Midori Okubo; Toshiharu Hatanaka (IIAI-AAI, 2017)

A General Swarm Intelligence Model for Continuous Function Optimization. - Satoru Iwasaki; Heng Xiao; Toshiharu Hatanaka; Takeshi Uchitane (SEAL, 2017)

A study on estimation of distribution algorithm based on a partial differential equation model. - Satoru Iwasaki; Toshiharu Hatanaka (SSCI, 2017)

Hybrid swarm of particle swarm with firefly for complex function optimization. - Heng Xiao; Toshiharu Hatanaka (GECCO (Companion), 2018)

An Approach for Estimation of Students' Learning States Using Bayesian Network with LMS Log Data. - Nobuhiko Kondo; Toshiharu Hatanaka (IIAI-AAI, 2018)

Development of Evolutionary Design of Experiments to Find Significant Effects for Natural Disaster Prevention. - Takeshi Uchitane; Toshiharu Hatanaka (CEC, 2019)

Multifactorial optimization using Artificial Bee Colony and its application to Car Structure Design Optimization. - Gen Yokoya; Heng Xiao; Toshiharu Hatanaka (CEC, 2019)

An Analysis of Learning Processes on Online Notes using Scrapbox. - Nobuhiko Kondo; Toshiharu Hatanaka; Takeshi Matsuda (IIAI-AAI, 2019)

Multifactorial PSO-FA Hybrid Algorithm for Multiple Car Design Benchmark. - Heng Xiao; Gen Yokoya; Toshiharu Hatanaka (SMC, 2019)

Model Selecting PSO-FA Hybrid for Complex Function Optimization. - Heng Xiao; Toshiharu Hatanaka (Int. J. Swarm Intell. Res., 2021)

Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm. - Heng Xiao; Gen Yokoya; Toshiharu Hatanaka (Int. J. Swarm Intell. Res., 2021)

Scalarization-based Exploratory Landscape Analysis for Multi-Objective Continuous Optimization Problems. - Shuhei Tanaka; Shoichiro Tanaka; Toshiharu Hatanaka (GECCO, 2025)