Mega Process Genetic Algorithm Using Grid MP. - Yoshiko Hanada; Tomoyuki Hiroyasu; Mitsunori Miki; Yuko Okamoto (LSGRID, 2004)

An improvement of database with local search mechanisms for genetic algorithms in large-scale computing environments. - Yoshiko Hanada; Tomoyuki Hiroyasu; Mitsunori Miki (Congress on Evolutionary Computation, 2005)

Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+. - Tomoyuki Hiroyasu; Mitsunori Miki; Seiichi Nakayama; Yoshiko Hanada (GECCO, 2005)

Genetic multi-step search in interpolation and extrapolation domain. - Yoshiko Hanada; Tomoyuki Hiroyasu; Mitsunori Miki (GECCO, 2007)

Analysis of the performance of genetic multi-step search in interpolation and extrapolation domain. - Yoshiko Hanada; Tomoyuki Hiroyasu; Mitsunori Miki (GECCO, 2008)

An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA. - Hiroyuki Okuno; Yoshiko Hanada; Mitsuji Muneyasu; Akira Asano (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Estimation of Distribution Algorithm Incorporating Switching. - Kenji Tsuchie; Yoshiko Hanada; Seiji Miyoshi (IEICE Trans. Inf. Syst., 2010)

Unsupervised design of stack filters by tree structure optimization. - Tatsuya Suzuki; Yoshiko Hanada; Mitsuji Muneyasu (ICICS, 2011)

Effectiveness of genetic multistep searches in interpolation and extrapolation domains on multiobjective optimization. - Yoshiko Hanada; Takumi Tani; Cuimin Li; Mitsuji Muneyasu (SMC, 2011)

Dual Primitive Estimation of Textures. - Liang Li; Akira Asano; Chie Muraki Asano; Mitsuji Muneyasu; Yoshiko Hanada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Effectiveness of Genetic Multistep Search in Unsupervised Design of Morphological Filters for Noise Removal. - Yoshiko Hanada; Mitsuji Muneyasu; Akira Asano (Inf. Media Technol., 2011)

Effectiveness of Multi-step Crossover Fusions in genetic programming. - Yoshiko Hanada; Nagahiro Hosokawa; Keiko Ono; Mitsuji Muneyasu (IEEE Congress on Evolutionary Computation, 2012)

Data Embedding and Extraction Method for Printed Images by Log Polar Mapping. - Kimitoshi Tamaki; Mitsuji Muneyasu; Yoshiko Hanada (IIMSS, 2012)

An extension of unsupervised design method for weighted median filters using GA. - Yoshiko Hanada; Mitsuji Muneyasu; Akira Asano (SMC, 2012)

Depth-dependent crossover in genetic programming with frequent trees. - Keiko Ono; Yoshiko Hanada; Katsushi Shirakawa; Masahito Kumano; Masahiro Kimura (SMC, 2012)

Island model genetic programming based on frequent trees. - Keiko Ono; Yoshiko Hanada; Masahito Kumano; Masahiro Kimura (IEEE Congress on Evolutionary Computation, 2013)

A New Population Initialization Approach Based on Bordered Hessian for Portfolio Optimization Problems. - Yukiko Orito; Yoshiko Hanada; Shunsuke Shibata; Hisashi Yamamoto (SMC, 2013)

EDA with Switching Distributions for Long-Short Portfolio Replication Problems. - Shunsuke Shibata; Yukiko Orito; Yoshiko Hanada; Hisashi Yamamoto (SMC, 2013)

A Method of Data Embedding and Extracting for Information Retrieval Considering Mobile Devices. - Mitsuji Muneyasu; Hiroshi Kudo; Takafumi Shono; Yoshiko Hanada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Unsupervised multiobjective design for weighted median filters using genetic algorithm. - Yoshiko Hanada; Yukiko Orito (CIMSIVP, 2014)

Assembling bloat control strategies in genetic programming for image noise reduction. - Keiko Ono; Yoshiko Hanada (ISDA, 2014)

A crowd simulation for the flow of students in school building of Kansai university. - Raito Matsuzaki; Yoshiko Hanada; Noriaki Muranaka (SCIS&ISIS, 2014)

A CUDA-based self-adaptive subpopulation model in genetic programming: cuSASGP. - Keiko Ono; Yoshiko Hanada (CEC, 2015)

Equality constraint-handling technique with various mapping points: The case of portfolio replication problem. - Yukiko Orito; Yoshiko Hanada (CEC, 2015)

Distributed light brightness control based on cuSASGP. - Keiko Ono; Yoshiko Hanada (CEC, 2016)

Probabilistic Model-Based Multistep Crossover for Genetic Programming. - Kohei Matsumura; Yoshiko Hanada; Keiko Ono (SCIS&ISIS, 2016)

Dimension Reduction EA for Portfolio Replication Problem: Search Space Change by Fixing Important Variables. - Yukiko Orito; Yoshiko Hanada (SCIS&ISIS, 2016)

3D surface registration using estimated local shape variation. - Keiko Ono; Ryuji Ono; Yoshiko Hanada (CCTA, 2017)

Effectiveness of iterative asset selection based on bordered hessian for portfolio optimization problems. - Yoshiko Hanada; Yukiko Orito; Yuji Nakagawa (SMC, 2017)

Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem. - Yukiko Orito; Yoshiko Hanada (SMC, 2017)

Accelerating genetic programming using pycuda. - Keiko Ono; Yoshiko Hanada (GECCO (Companion), 2018)

Edge Assembly Crossover using Multiple Parents for Traveling Salesman Problem. - Maaki Sakai; Yoshiko Hanada; Yukiko Orito (SCIS&ISIS, 2018)

Effectiveness of Multi-step Crossover in Extrapolation Domain for Genetic Programming. - Mao Kuroda; Yoshiko Hanada; Keiko Ono (SMC, 2018)

Equality Constraint-Handling Technique with Variables Grouping in EA for Large Scale Global Optimization. - Yukiko Orito; Yoshiko Hanada (SMC, 2018)

Search Space Reduction Model with Trigonometric Function for Linear Equality Constraint-handling: The Case of Portfolio Replication Problem. - Yukiko Orito; Yoshiko Hanada; Junzhi Li (CEC, 2019)

A New Probabilistic Tree Expression for Probabilistic Model Building Genetic Programming. - Daichi Kumoyama; Yoshiko Hanada; Keiko Ono (CSII (selected papers), 2019)

Textonboost based on differential evolution. - Keiko Ono; Daisuke Tawara; Yoshiko Hanada (GECCO (Companion), 2019)

A Proposal for Creation of Beverage Suited for User by Blending Juices based on Interactive Genetic Algorithm. - Makoto Fukumoto; Yoshiko Hanada (SMC, 2019)

Enhancing Island Model Genetic Programming by Controlling Frequent Trees. - Keiko Ono; Yoshiko Hanada; Masahito Kumano; Masahiro Kimura (J. Artif. Intell. Soft Comput. Res., 2019)

Edge Assembly Crossover with Tabu for Traveling Salesman Problem. - Maaki Sakai; Yoshiko Hanada; Yukiko Orito (CEC, 2020)

Verification of performance of Multi-Parental Real-Valued Crossover in Interactive Genetic Algorithm. - Yusuke Yabuzaki; Yoshiko Hanada; Makoto Fukumoto (SCIS/ISIS, 2020)

Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. - Naoya Ikushima; Keiko Ono; Yuya Maeda; Erina Makihara; Yoshiko Hanada (CEC, 2021)

A Proposal of Interactive Tabu Search for Creating Beverage by Blending Source Juices. - Makoto Fukumoto; Haoran Gan; Yoshiko Hanada (CYBCONF, 2021)

Self-Organized Subpopulation Based on Multiple Features in Genetic Programming on GPU. - Keiko Ono; Yoshiko Hanada (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Graph optimization algorithm for low-latency interconnection networks. - Masahiro Nakao; Maaki Sakai; Yoshiko Hanada; Hitoshi Murai; Mitsuhisa Sato (Parallel Comput., 2021)

Using Suggestion Information in Exchange Solutions between Users in Interactive Evolutionary Computation Creating Blended Juices. - Makoto Fukumoto; Yoshiko Hanada (SCIS/ISIS, 2022)

Genetic Programming for Optimizing Behavioral Rules of Agents Mimicking Human Behavior Patterns. - Kosuke Kakizako; Yoshiko Hanada (SCIS/ISIS, 2022)

Graph optimization algorithm using symmetry and host bias for low-latency indirect network. - Masahiro Nakao; Masaki Tsukamoto; Yoshiko Hanada; Keiji Yamamoto (Parallel Comput., 2022)

Personalized Beverage Blending System Using Interactive Genetic Algorithm and Its Search Analysis. - Miko Yokoi; Yuki Fujioka; Yoshiko Hanada; Makoto Fukumoto (CISIM, 2023)

Creation of Delicious Mixed Juices for Multiple Users based on Distributed Interactive Genetic Algorithm. - Makoto Fukumoto; Yoshiko Hanada (SMC, 2023)

Optimization Algorithm with Automatic Adjustment of the Number of Switches in the Order/Radix Problem. - Masaki Tsukamoto; Yoshiko Hanada; Masahiro Nakao; Keiji Yamamoto (IEICE Trans. Inf. Syst., 2023)

Investigating Global Search Performance of Multi-Objective Genetic Algorithm based on Innately Split Model. - Kohei Oda; Yoshiko Hanada; Yukiko Orito (SCIS/ISIS, 2024)

Edge Assembly Crossover Incorporating Tabu Search for the Traveling Salesman Problem. - Maaki Sakai; Kanon Hokazono; Yoshiko Hanada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Impact of Design Variable Intensity on Interactive Genetic Algorithm Search in Beverage Mixing Ratio Optimization. - Xiangyi Kong; Yoshiko Hanada; Makoto Fukumoto (CISIM, 2025)