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Faculty Information
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Present specialized field
Academic background
Research activities
Business career
Book and thesis
Developed teaching materials, textbooks, reference books
（Last updated : 2025-04-01 12:09:23）
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
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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
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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
Improving Speciation-Based Particle Swarm Optimization with Graphs by Sphere Mutation, Local Mutation, and Parameter Adjustment for Multimodal Optimization (Collaboration) 2025/03
2.
Book
A Study on Crossover Operations Using Hill-Valley Detection for Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation (Collaboration) 2024/02
3.
Book
A Study on Converging and Moving Detection Using Distance Between the Center and the Best Solution for Particle Swarm Optimization (Collaboration) 2023/02
4.
Book
A Study on Multi-Armed Bandit Algorithms for Dynamic Selection of Parameters and Topologies in Particle Swarm Optimization (Collaboration) 2022/02
5.
Thesis
Improving a Real-Coded Genetic Algorithm Using an Outward Vector Rate and Pallelotope-Shaped Crossover (Collaboration) 2023/01
6.
Thesis
Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution (Collaboration) 2022/11
7.
Thesis
Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph and Seed-Centered Mutation (Collaboration) 2022/03
8.
Thesis
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information (Collaboration) 2021/06
9.
Thesis
Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph (Collaboration) 2021/06
10.
Thesis
Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm (Collaboration) 2020/12
11.
Thesis
A Correlation-Based Group-Wise Crossover Operation Based on Gene Grouping using Correlation Coefficients for an Adaptive Differential Evolution Algorithm (Collaboration) 2020/06
12.
Thesis
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization (Collaboration) 2019/06
13.
Thesis
Particle Swarm Optimization with the Velocity Updating Rule According to an Oblique Coordinate System (Collaboration) 2017/10
14.
Thesis
An Adaptive Differential Evolution with Exploitation and Exploration by Extreme Individuals (Collaboration) 2017/09
15.
Thesis
An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values (Collaboration) 2017/07
16.
Thesis
Improving an Adaptive Differential Evolution using Hill-Valley Detection (Collaboration) 2015/11
17.
Thesis
Constrained Optimization by the εConstrained Differential Evolution with an Archive and Gradient-Based Mutation (Collaboration) 2010/07
18.
Thesis
Efficient Constrained Optimization by the Epsilon Constrained Adaptive Differential Evolution (Collaboration) 2010/07
19.
Thesis
Predicting Stock Price Using Neural Networks Optimized by Differential Evolution with Degeneration (Collaboration) 2009/12
20.
Thesis
A Comparative Study on Kernel Smoothers in Differential Evolution with Estimated Comparison Method for Reducing Function Evaluations (Collaboration) 2009/05
21.
Thesis
Fast and Stable Constrained Optimizationby the ε Constrained Differential Evolution (Collaboration) 2009/05
22.
Thesis
Efficient Optimization by Differential Evolution using Rough Approximation Model with Adaptive Control of Error Margin (Collaboration) 2008/09
23.
Thesis
Reducing Function Evaluations in Differential Evolution using Rough Approximation-Based Comparison (Collaboration) 2008/06
24.
Thesis
Reducing the Number of Function Evaluations in Differential Evokutuion by Estimated Comparison Method Using an Approximation Model with Low Accuracy (Collaboration) 2008/05
25.
Thesis
Structural Learningof Neural Networks by Differential Evolution with Degeneration using Mappings (Collaboration) 2007/09
26.
Thesis
Solving Nonlinear Constrained Optimization Problems by the Epsilon Constrained Differential Evolution (Collaboration) 2006/10
27.
Thesis
Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites (Collaboration) 2006/07
28.
Thesis
Constrained Optimization by the Epsilon Constrained Genetic Algorithm (Collaboration) 2006/06
29.
Thesis
Solving Constrained Optimization Problems by the Epsilon Constrained Particle Swarm Optimizer with Adaptive Velocity Limit Control (Collaboration) 2006/06
30.
Thesis
Constrained Optimization by the Epsilon Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm (Collaboration) 2005/12
31.
Thesis
Constrained Optimization by Applying the α Constrained Method to the Nonlinear Simplex Method with Mutations (Collaboration) 2005/10
32.
Thesis
Constrained Optimization by Epsilon Constrained Particle Swarm Optimizer with Epsilon-level Control (Collaboration) 2005/05
33.
Thesis
Constrained Optimization by the α Constrained Particle Swarm Optimizer (Collaboration) 2005/05
34.
Thesis
Structural Learning of Neural Networks by Coevolutionary Genetic Algorithm with Degeneration (Collaboration) 2004/10
35.
Thesis
Constrained Optimization by Combining the α Constrained Method with Particle Swarm Optimization (Collaboration) 2004/09
36.
Thesis
Constrained Optimization by Alpha Constrained Genetic Algorithm (alphaGA) (Collaboration) 2004/05
37.
Thesis
tructural Optimization by Genetic Algorithm with Degeneration (GA
d
) (Collaboration) 2004/05
38.
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
39.
Thesis
Structural Learning of RBF-Fuzzy Rule Bases Based on Information Criteria and Degeneration (Collaboration) 2003/10
40.
Thesis
Constrained Optimization by Alpha Constrained Genetic Algorithm (alphaGA) (Collaboration) 2003/04
41.
Thesis
Learning Structure of RBF-Fuzzy Rule Bases by Degeneration (Collaboration) 2003/03
42.
Thesis
Structural Optimization by Genetic Algorithm with Degeneration (GA
d
) (Collaboration) 2003/03
43.
Thesis
Structural Optimization of Neural Network by Genetic Algorithm with Damaged Genes (Collaboration) 2002/11
44.
Thesis
Structural Learning by Genetic Algorithm with Damaged Genes (Collaboration) 2002/09
45.
Thesis
Learning Game Strategy in an Artificial Game Society (Collaboration) 2002/03
46.
Thesis
Interactive Learning of Multiobjective Fuzzy Control Rules by Multiobjective Nonlinear Optimization Method "Vector Simplex" (Collaboration) 2001/11
47.
Thesis
MGGA: Genetic Algorithm with Mutant Genes (Collaboration) 2001/09
48.
Thesis
Learning Game Strategy by Multi-Agent TD Players (Collaboration) 2001/08
49.
Thesis
Learning Fuzzy Control Rules by Vector Simplex Method (Collaboration) 2001/07
50.
Thesis
Team Model and Taught-by-the-best Operation (Collaboration) 2001/05
51.
Thesis
Multiobjective Nonlinear Optimization Method "Vector Simplex" (Collaboration) 2000/12
52.
Thesis
Learning Fuzzy Inference Rules with Shape Parameters (Collaboration) 2000/09
53.
Thesis
Tuning Fuzzy Control Rules by the α Constrained Method which Solves Constrained Nonlinear Optimization Problems (Collaboration) 2000/09
54.
Thesis
Learning Fuzzy Control Rules by Alpha Constrained Simplex Method (Collaboration) 2000/07
55.
Thesis
Team Model which Solves Optimization Problems Based on Teaching by Teams (Collaboration) 2000/01
56.
Thesis
An Optimization Algorithm ``Team Model'' (Collaboration) 1999/10
57.
Thesis
Learning fuzzy control rules by alpha constrained simplex method (Collaboration) 1999/08
58.
Thesis
Learning Fuzzy Control Rules by α Constrained Powell's Method (Collaboration) 1999/08
59.
Thesis
Tunning Fuzzy Control Rules by Alpha Constrained Method which Solves Constrained Nonlinear Optimization Problems (Collaboration) 1999/05
60.
Thesis
Learning Rules for Fuzzy Scaling Control by Genetic Algorithms (Collaboration) 1998/01
61.
Thesis
A Method of Separating the Graphical User Interface in CAI System (Collaboration) 1997/01
62.
Thesis
Learning Fuzzy Rules for Bang-Bang Control by Reinforcement Learning Method (Collaboration) 1996/04
63.
Thesis
Learning Fuzzy Rules for Bang-Bang Control by Reinforcement Learning Method (Collaboration) 1996/02
64.
Thesis
The Possibility Distribution of α-optimal Value Z(α) in Fuzzy Linear Programming Problem (Collaboration) 1994/05
65.
Thesis
A Model for Real Poker with the Upper Bound of Asset (Single) 1986/07
66.
Thesis
Solutions to Three-Person Hi-Lo Poker (Single) 1984/05
67.
Thesis
Solutions to a Class of Two-Person Hi-Lo Poker (Collaboration) 1982/01
68.
Thesis
Partial Information in a Simplified Two-Person Poker (Collaboration) 1981/12
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Developed teaching materials, textbooks, reference books
1.
2019/10
Contribution Type : 単著
2.
2019/10
Contribution Type : 単著
3.
2019/10
Contribution Type : 単著
4.
2019/10
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5.
2020/07
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6.
2020/07
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7.
2020/07
Contribution Type : 単著
8.
2020/07
Contribution Type : 単著
9.
2021/01
Contribution Type : 単著
10.
2021/01
Contribution Type : 単著
11.
2021/01
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12.
2021/01
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13.
2021/01
Contribution Type : 単著
14.
2021/07
Contribution Type : 単著
15.
2021/07
Contribution Type : 単著
16.
2021/07
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17.
2021/07
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18.
2022/01
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19.
2022/01
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20.
2022/01
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21.
2022/01
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22.
2023/07
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23.
2023/07
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24.
2023/07
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25.
2024/01
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26.
2024/01
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