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ORCIDYoshiko Hanada
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2020 – today
- 2024
[j11]Maaki Sakai, Kanon Hokazono, Yoshiko Hanada:
Edge Assembly Crossover Incorporating Tabu Search for the Traveling Salesman Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(10): 1627-1631 (2024)- 2023
- [j10]Masaki Tsukamoto, Yoshiko Hanada, Masahiro Nakao, Keiji Yamamoto:
Optimization Algorithm with Automatic Adjustment of the Number of Switches in the Order/Radix Problem. IEICE Trans. Inf. Syst. 106(12): 1979-1987 (2023) - [c41]Miko Yokoi, Yuki Fujioka, Yoshiko Hanada, Makoto Fukumoto
:
Personalized Beverage Blending System Using Interactive Genetic Algorithm and Its Search Analysis. CISIM 2023: 496-508 - [c40]Makoto Fukumoto, Yoshiko Hanada:
Creation of Delicious Mixed Juices for Multiple Users based on Distributed Interactive Genetic Algorithm. SMC 2023: 2433-2438 - 2022
- [j9]Masahiro Nakao, Masaki Tsukamoto, Yoshiko Hanada, Keiji Yamamoto:
Graph optimization algorithm using symmetry and host bias for low-latency indirect network. Parallel Comput. 114: 102983 (2022) - [c39]Makoto Fukumoto, Yoshiko Hanada:
Using Suggestion Information in Exchange Solutions between Users in Interactive Evolutionary Computation Creating Blended Juices. SCIS/ISIS 2022: 1-6 - [c38]Kosuke Kakizako, Yoshiko Hanada:
Genetic Programming for Optimizing Behavioral Rules of Agents Mimicking Human Behavior Patterns. SCIS/ISIS 2022: 1-3 - 2021
- [j8]Keiko Ono, Yoshiko Hanada:
Self-Organized Subpopulation Based on Multiple Features in Genetic Programming on GPU. J. Adv. Comput. Intell. Intell. Informatics 25(2): 177-186 (2021) - [j7]Masahiro Nakao, Maaki Sakai, Yoshiko Hanada, Hitoshi Murai, Mitsuhisa Sato:
Graph optimization algorithm for low-latency interconnection networks. Parallel Comput. 106: 102805 (2021) - [c37]Naoya Ikushima, Keiko Ono, Yuya Maeda, Erina Makihara, Yoshiko Hanada:
Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. CEC 2021: 2523-2530 - [c36]Makoto Fukumoto, Haoran Gan, Yoshiko Hanada:
A Proposal of Interactive Tabu Search for Creating Beverage by Blending Source Juices. CYBCONF 2021: 95-100 - 2020
- [c35]Maaki Sakai, Yoshiko Hanada, Yukiko Orito:
Edge Assembly Crossover with Tabu for Traveling Salesman Problem. CEC 2020: 1-6 - [c34]Yusuke Yabuzaki, Yoshiko Hanada, Makoto Fukumoto:
Verification of performance of Multi-Parental Real-Valued Crossover in Interactive Genetic Algorithm. SCIS/ISIS 2020: 1-6
2010 – 2019
- 2019
- [j6]Keiko Ono, Yoshiko Hanada, Masahito Kumano, Masahiro Kimura:
Enhancing Island Model Genetic Programming by Controlling Frequent Trees. J. Artif. Intell. Soft Comput. Res. 9(1): 51-65 (2019) - [c33]Yukiko Orito, Yoshiko Hanada, Junzhi Li:
Search Space Reduction Model with Trigonometric Function for Linear Equality Constraint-handling: The Case of Portfolio Replication Problem. CEC 2019: 1074-1080 - [c32]Daichi Kumoyama, Yoshiko Hanada, Keiko Ono:
A New Probabilistic Tree Expression for Probabilistic Model Building Genetic Programming. CSII (selected papers) 2019: 121-132 - [c31]Keiko Ono, Daisuke Tawara, Yoshiko Hanada:
Textonboost based on differential evolution. GECCO (Companion) 2019: 322-323 - [c30]Makoto Fukumoto, Yoshiko Hanada:
A Proposal for Creation of Beverage Suited for User by Blending Juices based on Interactive Genetic Algorithm. SMC 2019: 1104-1109 - 2018
- [c29]Keiko Ono, Yoshiko Hanada:
Accelerating genetic programming using pycuda. GECCO (Companion) 2018: 57-58 - [c28]Maaki Sakai, Yoshiko Hanada, Yukiko Orito:
Edge Assembly Crossover using Multiple Parents for Traveling Salesman Problem. SCIS&ISIS 2018: 474-477 - [c27]Yukiko Orito, Yoshiko Hanada:
Equality Constraint-Handling Technique with Variables Grouping in EA for Large Scale Global Optimization. SMC 2018: 274-279 - [c26]Mao Kuroda, Yoshiko Hanada, Keiko Ono:
Effectiveness of Multi-step Crossover in Extrapolation Domain for Genetic Programming. SMC 2018: 3654-3659 - 2017
- [c25]Keiko Ono, Ryuji Ono, Yoshiko Hanada:
3D surface registration using estimated local shape variation. CCTA 2017: 1362-1367 - [c24]Yukiko Orito, Yoshiko Hanada:
Search space reduction approach in evolutionary algorithms: The case of high-dimensional portfolio replication problem. SMC 2017: 554-559 - [c23]Yoshiko Hanada, Yukiko Orito, Yuji Nakagawa:
Effectiveness of iterative asset selection based on bordered hessian for portfolio optimization problems. SMC 2017: 2040-2044 - 2016
- [c22]Keiko Ono, Yoshiko Hanada:
Distributed light brightness control based on cuSASGP. CEC 2016: 838-845 - [c21]Yukiko Orito, Yoshiko Hanada:
Dimension Reduction EA for Portfolio Replication Problem: Search Space Change by Fixing Important Variables. SCIS&ISIS 2016: 22-25 - [c20]Kohei Matsumura, Yoshiko Hanada, Keiko Ono:
Probabilistic Model-Based Multistep Crossover for Genetic Programming. SCIS&ISIS 2016: 154-159 - 2015
- [c19]Keiko Ono, Yoshiko Hanada:
A CUDA-based self-adaptive subpopulation model in genetic programming: cuSASGP. CEC 2015: 1543-1550 - [c18]Yukiko Orito, Yoshiko Hanada:
Equality constraint-handling technique with various mapping points: The case of portfolio replication problem. CEC 2015: 2573-2580 - 2014
- [c17]Yoshiko Hanada, Yukiko Orito:
Unsupervised multiobjective design for weighted median filters using genetic algorithm. CIMSIVP 2014: 122-129 - [c16]Keiko Ono, Yoshiko Hanada:
Assembling bloat control strategies in genetic programming for image noise reduction. ISDA 2014: 113-118 - [c15]Raito Matsuzaki, Yoshiko Hanada, Noriaki Muranaka:
A crowd simulation for the flow of students in school building of Kansai university. SCIS&ISIS 2014: 190-195 - 2013
- [j5]Mitsuji Muneyasu, Hiroshi Kudo, Takafumi Shono, Yoshiko Hanada:
A Method of Data Embedding and Extracting for Information Retrieval Considering Mobile Devices. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(6): 1214-1221 (2013) - [c14]Keiko Ono, Yoshiko Hanada, Masahito Kumano, Masahiro Kimura:
Island model genetic programming based on frequent trees. IEEE Congress on Evolutionary Computation 2013: 2988-2995 - [c13]Shunsuke Shibata, Yukiko Orito, Yoshiko Hanada, Hisashi Yamamoto:
EDA with Switching Distributions for Long-Short Portfolio Replication Problems. SMC 2013: 427-432 - [c12]Yukiko Orito, Yoshiko Hanada, Shunsuke Shibata, Hisashi Yamamoto:
A New Population Initialization Approach Based on Bordered Hessian for Portfolio Optimization Problems. SMC 2013: 1341-1346 - 2012
- [c11]Yoshiko Hanada, Nagahiro Hosokawa, Keiko Ono, Mitsuji Muneyasu:
Effectiveness of Multi-step Crossover Fusions in genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c10]Kimitoshi Tamaki, Mitsuji Muneyasu, Yoshiko Hanada:
Data Embedding and Extraction Method for Printed Images by Log Polar Mapping. IIMSS 2012: 173-181 - [c9]Keiko Ono, Yoshiko Hanada, Katsushi Shirakawa, Masahito Kumano, Masahiro Kimura:
Depth-dependent crossover in genetic programming with frequent trees. SMC 2012: 359-363 - [c8]Yoshiko Hanada, Mitsuji Muneyasu, Akira Asano:
An extension of unsupervised design method for weighted median filters using GA. SMC 2012: 1136-1141 - 2011
- [j4]Liang Li, Akira Asano, Chie Muraki Asano, Mitsuji Muneyasu, Yoshiko Hanada:
Dual Primitive Estimation of Textures. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(4): 1165-1169 (2011) - [j3]Yoshiko Hanada, Mitsuji Muneyasu, Akira Asano:
Effectiveness of Genetic Multistep Search in Unsupervised Design of Morphological Filters for Noise Removal. Inf. Media Technol. 6(2): 319-330 (2011) - [c7]Tatsuya Suzuki, Yoshiko Hanada, Mitsuji Muneyasu:
Unsupervised design of stack filters by tree structure optimization. ICICS 2011: 1-5 - [c6]Yoshiko Hanada, Takumi Tani, Cuimin Li, Mitsuji Muneyasu:
Effectiveness of genetic multistep searches in interpolation and extrapolation domains on multiobjective optimization. SMC 2011: 669-674 - 2010
- [j2]Hiroyuki Okuno, Yoshiko Hanada, Mitsuji Muneyasu, Akira Asano:
An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(11): 2196-2199 (2010) - [j1]Kenji Tsuchie, Yoshiko Hanada, Seiji Miyoshi:
Estimation of Distribution Algorithm Incorporating Switching. IEICE Trans. Inf. Syst. 93-D(11): 3108-3111 (2010)
2000 – 2009
- 2008
- [c5]Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki:
Analysis of the performance of genetic multi-step search in interpolation and extrapolation domain. GECCO 2008: 1107-1108 - 2007
- [c4]Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki:
Genetic multi-step search in interpolation and extrapolation domain. GECCO 2007: 1242-1249 - 2005
- [c3]Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki:
An improvement of database with local search mechanisms for genetic algorithms in large-scale computing environments. Congress on Evolutionary Computation 2005: 1974-1981 - [c2]Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayama, Yoshiko Hanada:
Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+. GECCO 2005: 2195-2196 - 2004
- [c1]Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki, Yuko Okamoto:
Mega Process Genetic Algorithm Using Grid MP. LSGRID 2004: 152-170
Coauthor Index
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