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ORCIDTadahiko Murata
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Journal Articles
- 2023
[j13]Tadahiko Murata
, Daiki Iwase, Takuya Harada:
Workplace Assignment to Workers in Synthetic Populations in Japan. IEEE Trans. Comput. Soc. Syst. 10(4): 1914-1923 (2023)- 2018
- [j12]Naiqi Wu, Zhiwu Li, Kamel Barkaoui, Xiaoou Li, Tadahiko Murata, MengChu Zhou:
IoT-based smart and complex systems: a guest editorial report. IEEE CAA J. Autom. Sinica 5(1): 69-73 (2018) - 2014
- [j11]Tadahiko Murata, Naoki Kasatani:
A Microsimulation Tool for Airport Selection using Public Data on the Web. Rev. Socionetwork Strateg. 8(2): 85-99 (2014) - 2012
- [j10]Yang Cao, Shigeru Matsumoto, Tadahiko Murata:
Married Women's Lifestyles in Japan: Disparities Based on the Number of Children. Rev. Socionetwork Strateg. 6(1): 1-14 (2012) - 2010
- [j9]Taiyo Maeda, Yusuke Aoki, Tadahiko Murata:
Construction of PSE System for Developing Reinforcement Learning Algorithms. J. Convergence Inf. Technol. 5(4): 130-140 (2010) - [j8]Taiyo Maeda, Tadahiko Murata, Daichi Kotaka, Shigeru Matsumoto, Yang Cao:
Social Simulation Based on Human Behavioral Data Collected by Web-Based Experimental System. J. Convergence Inf. Technol. 5(4): 141-151 (2010) - 2007
- [j7]Hiroshi Arikawa, Tadahiko Murata:
Implementation issues in a grid-based multi-agent simulation system used for increasing labor supply. Rev. Socionetwork Strateg. 1(1): 1-13 (2007) - 2003
- [j6]Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata:
Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling. IEEE Trans. Evol. Comput. 7(2): 204-223 (2003) - 2001
- [j5]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Three-objective genetics-based machine learning for linguistic rule extraction. Inf. Sci. 136(1-4): 109-133 (2001) - 1999
- [j4]Hisao Ishibuchi, Tadahiko Murata, Tomoharu Nakashima:
Linguistic Rule Extraction from Numerical Data for High-dimensional Classification Problems. J. Adv. Comput. Intell. Intell. Informatics 3(5): 386-393 (1999) - [j3]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems. IEEE Trans. Syst. Man Cybern. Part B 29(5): 601-618 (1999) - 1998
- [j2]Hisao Ishibuchi, Tadahiko Murata:
A multi-objective genetic local search algorithm and its application to flowshop scheduling. IEEE Trans. Syst. Man Cybern. Part C 28(3): 392-403 (1998) - 1997
- [j1]Hisao Ishibuchi, Tadahiko Murata, I. Burhan Türksen:
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems. Fuzzy Sets Syst. 89(2): 135-150 (1997)
Conference and Workshop Papers
- 2022
- [c58]Tadahiko Murata:
Policy Making Based on Real-Scale Social Simulations. SCIS/ISIS 2022: 1-2 - 2021
- [c57]Tadahiko Murata, Atsuki Fukushima, Takuya Harada, Mie Sasaki:
Social Awareness from Analysis of Available Time for Automated External Defibrillators in a City. CYBCONF 2021: 45-49 - [c56]Tadahiko Murata, Kohei Totsuka:
Agent-Based Simulation for Avoiding the Congestions of Tourists. CYBCONF 2021: 56-60 - [c55]Tadahiko Murata, Kanta Yamashita:
Estimating the Effect of COVID-19 Contact Tracing Application Using Agent-Based Simulation. CYBCONF 2021: 120-125 - 2020
- [c54]Tadahiko Murata, Susumu Date, Yusuke Goto, Toshihiro Hanawa, Takuya Harada, Manabu Ichikawa, Lee Hao, Masaharu Munetomo, Akiyoshi Sugiki:
Distribution System for Japanese Synthetic Population Data with Protection Level. ICMLC 2020: 187-193 - 2019
- [c53]Tadahiko Murata, Takuya Harada, Manabu Ichika Wa, Yusuke Goto, Lee Hao, Susumu Date, Masaharu Munetomo, Akiyoshi Sugiki:
Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers. ICMLC 2019: 1-5 - 2018
- [c52]Tadahiko Murata, Takuya Harada:
Synthetic Method for Population of A Prefecture Using Statistics of Local Governments. SMC 2018: 1175-1180 - 2017
- [c51]Takuya Harada, Tadahiko Murata:
Reproducible large-scale social simulations on various computing environment. IFSA-SCIS 2017: 1-5 - [c50]Tadahiko Murata, Takuya Harada:
Nation-wide synthetic reconstruction method. SSCI 2017: 1-6 - [c49]Tadahiko Murata, Sho Sugiura, Takuya Harada:
Income allocation to each worker in synthetic populations using basic survey on wage structure. SSCI 2017: 1-6 - 2016
- [c48]Tadahiko Murata, Takuya Harada, Daiki Masui:
Modified SA-based household reconstruction from statistics for agent-based social simulations. SMC 2016: 3600-3605 - 2015
- [c47]Shigeru Obayashi, Carlo Poloni, Tadahiko Murata:
Preface. CEC 2015: 1 - [c46]Ricardo Navarro, Tadahiko Murata, Rafael Falcon, Chyon Hae Kim:
A generic niching framework for Variable Mesh Optimization. CEC 2015: 1994-2001 - [c45]Tadahiko Murata, Daiki Masui:
Designing simulated annealing and evolutionary algorithm for estimating attributes of residents from statistics. CEC 2015: 2476-2481 - [c44]Nisuo Du, Tadahiko Murata:
Comparing Income Replacement Rate by Prefecture in Japanese Pension System. ESSA 2015: 95-108 - [c43]Daiki Masui, Tadahiko Murata:
A Two-Fold Simulated Annealing to Reconstruct Household Composition from Statistics. SMC 2015: 1133-1138 - 2014
- [c42]Tadahiko Murata, Naoki Kasatani:
Airport selection from multiple airports using social awareness approach: A case study in Kinki Region, Japan. iCAST 2014: 1-7 - [c41]Tadahiko Murata, Daiki Masui:
Estimating agents' attributes using simulated annealing from statistics to realize social awareness. SMC 2014: 717-722 - 2013
- [c40]Tadahiko Murata, Takuya Harada:
Large Scale Social Simulation with more Than a Hundred Million Agents. ICETET 2013: 159-163 - [c39]Tadahiko Murata, Du Nisuo:
Agent-Based Simulation for Investigating Signaling Effects in Markets with Asymmetric Information. SMC 2013: 2860-2865 - 2012
- [c38]Tadahiko Murata, Du Nisuo:
Agent-based evaluation for effects of signaling in markets with asymmetric information. SCIS&ISIS 2012: 2134-2137 - 2011
- [c37]Tadahiko Murata, Goichi Morimoto, Shintaro Tokura:
Survey-based hospital closure estimation using agent-based simulation. SMC 2011: 233-238 - 2010
- [c36]Tadahiko Murata, Akinori Taki:
Examination of the performance of objective reduction using correlation-based weighted-sum for many objective knapsack problems. HIS 2010: 175-180 - 2009
- [c35]Tadahiko Murata, Akinori Taki:
Many-Objective Optimization for Knapsack Problems Using Correlation-Based Weighted Sum Approach. EMO 2009: 468-480 - 2007
- [c34]Tadahiko Murata, Yusuke Aoki:
Developing control table for multiple agents using GA-Based Q-learning with neighboring crossover. IEEE Congress on Evolutionary Computation 2007: 1462-1467 - [c33]Tadahiko Murata, Hiroshi Arikawa, Sen-ichi Morishita, Taiyo Maeda:
A Design of Problem Solving Environments for Policy Making Assistance Using MAS-Based Social Simulation. eScience 2007: 521-528 - [c32]Tadahiko Murata, Ryota Itai:
Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems. EMO 2007: 201-215 - [c31]Daisuke Banjo, Hiroyuki Tamura, Tadahiko Murata:
Simulating a Transition Process to Generation-based Funding Scheme in Public Pension Planning. SMC 2007: 1993-1998 - 2006
- [c30]Tadahiko Murata, Daisuke Okada:
Using Genetic Network Programming to Get Comprehensible Control Rules for Real Robots. IEEE Congress on Evolutionary Computation 2006: 1983-1988 - [c29]Tadahiko Murata, Takashi Nakamura:
Multi-Start Node Genetic Network Programming for Controlling Multiple Agents. SMC 2006: 1927-1932 - 2005
- [c28]Tadahiko Murata, Masatoshi Yamaguchi:
Neighboring crossover to improve GA-based Q-learning method for multi-legged robot control. GECCO 2005: 145-146 - [c27]Tadahiko Murata, Takashi Nakamura:
Genetic network programming with automatically defined groups for assigning proper roles to multiple agents. GECCO 2005: 1705-1712 - [c26]Tadahiko Murata, Satoshi Miyata:
Gene linkage identification in permutation problems for local search and genetic local search. SMC 2005: 1920-1924 - [c25]Tadahiko Murata, Takashi Nakamura, Sho Nagamine:
Performance of genetic network programming for learning agents on perceptual aliasing problem. SMC 2005: 2317-2322 - 2004
- [c24]Tadahiko Murata, Takashi Nakamura:
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups. GECCO (2) 2004: 712-714 - [c23]Tadahiko Murata, Nobuaki Kakito:
Products' review page projection using the number of evaluating expressions. ICWI 2004: 1061-1064 - [c22]Tadahiko Murata, Shoko Shirato:
History using browsing duration to assist browsing activity. ICWI 2004: 1121-1124 - [c21]Tadahiko Murata, Hiroshi Matsumoto:
Use of Successful Policies to Relearn for Induced States of Failure in Reinforcement Learning. KES 2004: 1114-1120 - [c20]Tadahiko Murata, Kenji Takada:
Performance Evaluation of a Distributed Genetic Algorithm with Cellular Structures on Function Optimization Problems. KES 2004: 1128-1135 - [c19]Tadahiko Murata, Yu Mizoguchi:
Generation and recall method for long-term memory data to suppress interference in RAN. SMC (6) 2004: 5697-5701 - 2003
- [c18]Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen:
Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. EMO 2003: 593-607 - [c17]Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi:
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms. GECCO 2003: 1234-1245 - [c16]Shiori Kaige, Tadahiko Murata, Hisao Ishibuchi:
Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems. SMC 2003: 14-19 - 2002
- [c15]Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen, Hisao Ishibuchi:
Effect of local search on the performance of cellular multiobjective genetic algorithms for designing fuzzy rule-based classification systems. IEEE Congress on Evolutionary Computation 2002: 663-668 - [c14]Hisao Ishibuchi, Tadsahi Yoshida, Tadahiko Murata:
Selection of initial solutions for local search in multiobjective genetic local search. IEEE Congress on Evolutionary Computation 2002: 950-955 - [c13]Hisao Ishibuchi, Tadashi Yoshida, Tadahiko Murata:
Balance Between Genetic Search And Local Search In Hybrid Evolutionary Multi-criterion Optimization Algorithms. GECCO 2002: 1301-1308 - 2001
- [c12]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms. EMO 2001: 82-95 - [c11]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Multiobjective Optimization in Linguistic Rule Extraction from Numerical Data. EMO 2001: 588-602 - 2000
- [c10]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Cellular Genetic Local Search for Multi-Objective Optimization. GECCO 2000: 307-314 - 1998
- [c9]Tadahiko Murata, Hisao Ishibuchi, Tomoharu Nakashima, Mitsuo Gen:
Fuzzy Partition and Input Selection by Genetic Algorithms for Designing Fuzzy Rule-Based Classification Systems. Evolutionary Programming 1998: 407-416 - [c8]Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Neighborhood structures for genetic local search algorithms. KES (2) 1998: 259-263 - 1997
- [c7]Hisao Ishibuchi, Tadahiko Murata, Shigemitsu Tomioka:
Effectiveness of Genetic Local Search Algorithms. ICGA 1997: 505-512 - [c6]Hisao Ishibuchi, Manabu Nii, Tadahiko Murata:
Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection. ICNN 1997: 2390-2395 - 1996
- [c5]Hisao Ishibuchi, Tadahiko Murata:
Multi-Objective Genetic Local Search Algorithm. International Conference on Evolutionary Computation 1996: 119-124 - [c4]Tadahiko Murata, Hisao Ishibuchi:
Positive and Negative Combination Effects of Crossover and Mutation Operators in Sequencing Problems. International Conference on Evolutionary Computation 1996: 170-175 - [c3]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
Genetic-Algorithm-Based Approaches to the Design of Fuzzy Systems for Multi-Dimensional Pattern Classification Problems. International Conference on Evolutionary Computation 1996: 229-234 - 1995
- [c2]Hisao Ishibuchi, Tomoharu Nakashima, Tadahiko Murata:
A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems. IEEE/Nagoya-University World Wisepersons Workshop 1995: 35-54 - 1994
- [c1]Tadahiko Murata, Hisao Ishibuchi:
Performance Evaluation of Genetic Algorithms for Flowshop Scheduling Problems. International Conference on Evolutionary Computation 1994: 812-817
Editorship
- 2007
- [e1]Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata:
Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings. Lecture Notes in Computer Science 4403, Springer 2007, ISBN 3-540-70927-4 [contents]
Coauthor Index
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