Educe University Faculty Information

Present specialized field
Academic background
Research activities
Business career
Book and thesis
Developed teaching materials, textbooks, reference books

（Last updated : 2024-04-25 14:22:21）

TAKAHAMA Setsuko
Hiroshima shudo University The Faculty of Commercial Sciences

Professor

■ Present specialized field

●Specialized field
Other, Other
●Keyword
●The main research themes
●Capable of joint research and research consultation content

■ Academic background

1.	1981/04～1986/03	Osaka University Graduate School, Division of Engineering Science 〔Doctoral course〕 Accomplished credits for doctoral program
2.	1987/04 Degree Acquisition	Osaka University Doctor of Engineering

■ Research activities

1.	1981～	The Operations Research Society of Japan
2.	1990～	Japan Society for Fuzzy Theory and intelligent informatics
3.	1998～	The Japan Society for Production Management (JSPM)
4.	～	The Japanese Society for Evolutionary Computation

■ Business career

1.	1998/04～1999/03	Hiroshima shudo University The Faculty of Commercial Sciences Professor
2.	1999/04～2001/03	Hiroshima shudo University Professor
3.	2001/04～	Hiroshima shudo University The Faculty of Commercial Sciences Professor

■ Book and thesis

1.	Book	A Study on Crossover Operations Using Hill-Valley Detection for Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation (Collaboration) 2024/02
2.	Book	A Study on Converging and Moving Detection Using Distance Between the Center and the Best Solution for Particle Swarm Optimization (Collaboration) 2023/02
3.	Book	A Study on Multi-Armed Bandit Algorithms for Dynamic Selection of Parameters and Topologies in Particle Swarm Optimization (Collaboration) 2022/02
4.	Thesis	Improving a Real-Coded Genetic Algorithm Using an Outward Vector Rate and Pallelotope-Shaped Crossover (Collaboration) 2023/01
5.	Thesis	Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution (Collaboration) 2022/11
6.	Thesis	Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph and Seed-Centered Mutation (Collaboration) 2022/03
7.	Thesis	An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information (Collaboration) 2021/06
8.	Thesis	Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph (Collaboration) 2021/06
9.	Thesis	Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm (Collaboration) 2020/12
10.	Thesis	A Correlation-Based Group-Wise Crossover Operation Based on Gene Grouping using Correlation Coeﬃcients for an Adaptive Diﬀerential Evolution Algorithm (Collaboration) 2020/06
11.	Thesis	An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization (Collaboration) 2019/06
12.	Thesis	Particle Swarm Optimization with the Velocity Updating Rule According to an Oblique Coordinate System (Collaboration) 2017/10
13.	Thesis	An Adaptive Differential Evolution with Exploitation and Exploration by Extreme Individuals (Collaboration) 2017/09
14.	Thesis	An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values (Collaboration) 2017/07
15.	Thesis	Improving an Adaptive Differential Evolution using Hill-Valley Detection (Collaboration) 2015/11
16.	Thesis	Constrained Optimization by the εConstrained Differential Evolution with an Archive and Gradient-Based Mutation (Collaboration) 2010/07
17.	Thesis	Efficient Constrained Optimization by the Epsilon Constrained Adaptive Differential Evolution (Collaboration) 2010/07
18.	Thesis	Predicting Stock Price Using Neural Networks Optimized by Differential Evolution with Degeneration (Collaboration) 2009/12
19.	Thesis	A Comparative Study on Kernel Smoothers in Differential Evolution with Estimated Comparison Method for Reducing Function Evaluations (Collaboration) 2009/05
20.	Thesis	Fast and Stable Constrained Optimizationby the ε Constrained Differential Evolution (Collaboration) 2009/05
21.	Thesis	Efficient Optimization by Differential Evolution using Rough Approximation Model with Adaptive Control of Error Margin (Collaboration) 2008/09
22.	Thesis	Reducing Function Evaluations in Differential Evolution using Rough Approximation-Based Comparison (Collaboration) 2008/06
23.	Thesis	Reducing the Number of Function Evaluations in Differential Evokutuion by Estimated Comparison Method Using an Approximation Model with Low Accuracy (Collaboration) 2008/05
24.	Thesis	Structural Learningof Neural Networks by Differential Evolution with Degeneration using Mappings (Collaboration) 2007/09
25.	Thesis	Solving Nonlinear Constrained Optimization Problems by the Epsilon Constrained Differential Evolution (Collaboration) 2006/10
26.	Thesis	Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites (Collaboration) 2006/07
27.	Thesis	Constrained Optimization by the Epsilon Constrained Genetic Algorithm (Collaboration) 2006/06
28.	Thesis	Solving Constrained Optimization Problems by the Epsilon Constrained Particle Swarm Optimizer with Adaptive Velocity Limit Control (Collaboration) 2006/06
29.	Thesis	Constrained Optimization by the Epsilon Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm (Collaboration) 2005/12
30.	Thesis	Constrained Optimization by Applying the α Constrained Method to the Nonlinear Simplex Method with Mutations (Collaboration) 2005/10
31.	Thesis	Constrained Optimization by Epsilon Constrained Particle Swarm Optimizer with Epsilon-level Control (Collaboration) 2005/05
32.	Thesis	Constrained Optimization by the α Constrained Particle Swarm Optimizer (Collaboration) 2005/05
33.	Thesis	Structural Learning of Neural Networks by Coevolutionary Genetic Algorithm with Degeneration (Collaboration) 2004/10
34.	Thesis	Constrained Optimization by Combining the α Constrained Method with Particle Swarm Optimization (Collaboration) 2004/09
35.	Thesis	Constrained Optimization by Alpha Constrained Genetic Algorithm (alphaGA) (Collaboration) 2004/05
36.	Thesis	tructural Optimization by Genetic Algorithm with Degeneration (GA^d) (Collaboration) 2004/05
37.	Thesis	A Study on Adaptive Control of Degeneration Speed in Structural Learning of Fuzzy Rules by Genetic Algorithms with Degeneration GA^d (Collaboration) 2004/02
38.	Thesis	Structural Learning of RBF-Fuzzy Rule Bases Based on Information Criteria and Degeneration (Collaboration) 2003/10
39.	Thesis	Constrained Optimization by Alpha Constrained Genetic Algorithm (alphaGA) (Collaboration) 2003/04
40.	Thesis	Learning Structure of RBF-Fuzzy Rule Bases by Degeneration (Collaboration) 2003/03
41.	Thesis	Structural Optimization by Genetic Algorithm with Degeneration (GA^d) (Collaboration) 2003/03
42.	Thesis	Structural Optimization of Neural Network by Genetic Algorithm with Damaged Genes (Collaboration) 2002/11
43.	Thesis	Structural Learning by Genetic Algorithm with Damaged Genes (Collaboration) 2002/09
44.	Thesis	Learning Game Strategy in an Artificial Game Society (Collaboration) 2002/03
45.	Thesis	Interactive Learning of Multiobjective Fuzzy Control Rules by Multiobjective Nonlinear Optimization Method "Vector Simplex" (Collaboration) 2001/11
46.	Thesis	MGGA: Genetic Algorithm with Mutant Genes (Collaboration) 2001/09
47.	Thesis	Learning Game Strategy by Multi-Agent TD Players (Collaboration) 2001/08
48.	Thesis	Learning Fuzzy Control Rules by Vector Simplex Method (Collaboration) 2001/07
49.	Thesis	Team Model and Taught-by-the-best Operation (Collaboration) 2001/05
50.	Thesis	Multiobjective Nonlinear Optimization Method "Vector Simplex" (Collaboration) 2000/12
51.	Thesis	Learning Fuzzy Inference Rules with Shape Parameters (Collaboration) 2000/09
52.	Thesis	Tuning Fuzzy Control Rules by the α Constrained Method which Solves Constrained Nonlinear Optimization Problems (Collaboration) 2000/09
53.	Thesis	Learning Fuzzy Control Rules by Alpha Constrained Simplex Method (Collaboration) 2000/07
54.	Thesis	Team Model which Solves Optimization Problems Based on Teaching by Teams (Collaboration) 2000/01
55.	Thesis	An Optimization Algorithm ``Team Model'' (Collaboration) 1999/10
56.	Thesis	Learning fuzzy control rules by alpha constrained simplex method (Collaboration) 1999/08
57.	Thesis	Learning Fuzzy Control Rules by α Constrained Powell's Method (Collaboration) 1999/08
58.	Thesis	Tunning Fuzzy Control Rules by Alpha Constrained Method which Solves Constrained Nonlinear Optimization Problems (Collaboration) 1999/05
59.	Thesis	Learning Rules for Fuzzy Scaling Control by Genetic Algorithms (Collaboration) 1998/01
60.	Thesis	A Method of Separating the Graphical User Interface in CAI System (Collaboration) 1997/01
61.	Thesis	Learning Fuzzy Rules for Bang-Bang Control by Reinforcement Learning Method (Collaboration) 1996/04
62.	Thesis	Learning Fuzzy Rules for Bang-Bang Control by Reinforcement Learning Method (Collaboration) 1996/02
63.	Thesis	The Possibility Distribution of α-optimal Value Z(α) in Fuzzy Linear Programming Problem (Collaboration) 1994/05
64.	Thesis	A Model for Real Poker with the Upper Bound of Asset (Single) 1986/07
65.	Thesis	Solutions to Three-Person Hi-Lo Poker (Single) 1984/05
66.	Thesis	Solutions to a Class of Two-Person Hi-Lo Poker (Collaboration) 1982/01
67.	Thesis	Partial Information in a Simplified Two-Person Poker (Collaboration) 1981/12
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■ Developed teaching materials, textbooks, reference books

1.	2018/04 Contribution Type : 単著
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5.	2018/04 Contribution Type : 単著
6.	2018/04 Contribution Type : 単著
7.	2019/10 Contribution Type : 単著
8.	2019/10 Contribution Type : 単著
9.	2019/10 Contribution Type : 単著
10.	2019/10 Contribution Type : 単著
11.	2020/07 Contribution Type : 単著
12.	2020/07 Contribution Type : 単著
13.	2020/07 Contribution Type : 単著
14.	2020/07 Contribution Type : 単著
15.	2021/01 Contribution Type : 単著
16.	2021/01 Contribution Type : 単著
17.	2021/01 Contribution Type : 単著
18.	2021/01 Contribution Type : 単著
19.	2021/01 Contribution Type : 単著
20.	2021/07 Contribution Type : 単著
21.	2021/07 Contribution Type : 単著
22.	2021/07 Contribution Type : 単著
23.	2021/07 Contribution Type : 単著
24.	2022/01 Contribution Type : 単著
25.	2022/01 Contribution Type : 単著
26.	2022/01 Contribution Type : 単著
27.	2022/01 Contribution Type : 単著
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