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Faculty Information
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Present specialized field
Academic background
Research activities
Book and thesis
Academic conference presentation
Developed teaching materials, textbooks, reference books
（Last updated : 2022-06-20 14:15:02）
TAKAHAMA Setsuko
Hiroshima shudo University The Faculty of Commercial Sciences
Professor
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Present specialized field
●Specialized field
Other, Other
●Keyword
●The main research themes
●Capable of joint research and research consultation content
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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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Book and thesis
1.
Book
A Study on Multi-Armed Bandit Algorithms for Dynamic Selection of Parameters and Topologies in Particle Swarm Optimization (Collaboration) 2022/03
2.
Book
Graph-Based Speciation Using Beta-Relaxed Relative Neighborhood Graph for Multimodal Optimization by Differential Evolution (Collaboration) 2021/03
3.
Book
A Study on a Directional Mutation Operation for an Adaptive Differential Evolution (Collaboration) 2020/02
4.
Book
A Study on an Equivalent Penalty Coefficient Value for Adaptive Control of the Penalty Coefficient in Constrained Optimization by Differential Evolution (Collaboration) 2019/02
5.
Thesis
Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph and Seed-Centered Mutation (Collaboration) 2022/03
6.
Thesis
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information (Collaboration) 2021/06
7.
Thesis
Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph (Collaboration) 2021/06
8.
Thesis
Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm (Collaboration) 2020/12
9.
Thesis
Constrained Optimization by Improved Particle Swarm Optimization with the Equivalent Penalty Coefficient Method (Collaboration) 2020/11
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 Adaptive Differential Evolution Algorithm Utilizing Failure Information (Collaboration) 2020/03
12.
Thesis
Constrained Optimization by Improved Particle Swarm Optimization with the Equivalent Penalty Coefficient Method (Collaboration) 2019/11
13.
Thesis
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization (Collaboration) 2019/06
14.
Thesis
A New Binomial Crossover Considering Correlation
Among Decision Variables for Adaptive Differential Evolution (Collaboration) 2018/12
15.
Thesis
The velocity updating rule according to an oblique coordinate system with mutation and dynamic scaling for particle swarm optimization (Collaboration) 2018/12
16.
Thesis
Grouping of Genes According to Correlation Coefficients and Grouping-Based Crossover for Adaptive Differential Evolution (Collaboration) 2018/11
17.
Thesis
A Blend Crossover Introducing Transformation to Resolve Dependency Between Variables Break (Collaboration) 2018/07
18.
Thesis
Particle Swarm Optimization with the Velocity Updating Rule According to an Oblique Coordinate System (Collaboration) 2017/10
19.
Thesis
An Adaptive Differential Evolution with Exploitation and Exploration by Extreme Individuals (Collaboration) 2017/09
20.
Thesis
An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values (Collaboration) 2017/07
21.
Thesis
Fast and Stable Constrained Optimizationby the ε Constrained Differential Evolution (Collaboration) 2009/05
22.
Thesis
Reducing the Number of Function Evaluations in Differential Evokutuion by Estimated Comparison Method Using an Approximation Model with Low Accuracy (Collaboration) 2008/05
23.
Thesis
Constrained Optimization by the Epsilon Constrained Genetic Algorithm (Collaboration) 2006/06
24.
Thesis
Constrained Optimization by Applying the α Constrained Method to the Nonlinear Simplex Method with Mutations (Collaboration) 2005/10
25.
Thesis
Tunning Fuzzy Control Rules by Alpha Constrained Method which Solves Constrained Nonlinear Optimization Problems (Collaboration) 1999/05
26.
Thesis
A Simplified Two-Person Poker, With a Noisy Communication Channeled between Players (Single) 1987/05
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Academic conference presentation
1.
2021/11/16
A study on β-relaxed relative neighborhood graph for speciation (New Developments on Mathematical Decision Making Under Uncertainty)
2.
2021/06/29
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information (IEEE Congress on Evolutionary Computation)
3.
2021/06/01
Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using Β-Relaxed Relative Neighborhood Graph (THE 15TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS 2021 AND THE 4TH INTERNATIONAL SYMPOSIUM ON SWARM BEHAVIOR AND BIO-INSPIRED ROBOTICS 2021)
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Subject
1.
Directed Individual Studies
2.
Directed Individual Studies
3.
Directed Individual Studies
4.
Directed Research
5.
Freshperson Seminar
6.
Management and Information Sciences I
7.
Management and Information Sciences II
8.
Seminar I
9.
Seminar II
10.
Seminar III
11.
Seminar IV
12.
Special Lecture B2a(Advanced Exercise in Algorithm and Programming)
13.
Special Lecture B2a(Exercise in Algorithm and Programming)
14.
Studies in Information Management of Business Administration I
15.
Studies in Information Management of Business Administration II
16.
Studies in Information Managemnt of Business Administration
17.
Thesis
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Developed teaching materials, textbooks, reference books
1.
2017/04
Contribution Type : 単著
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2017/04
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2017/04
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2017/04
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2017/09
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2017/09
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7.
2018/04
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8.
2018/04
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2018/04
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2018/04
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11.
2018/04
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12.
2018/04
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13.
2019/10
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14.
2019/10
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15.
2019/10
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16.
2019/10
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17.
2020/07
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18.
2020/07
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19.
2020/07
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20.
2020/07
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21.
2021/01
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22.
2021/01
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23.
2021/01
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24.
2021/01
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25.
2021/01
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26.
2021/07
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27.
2021/07
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28.
2021/07
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29.
2021/07
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30.
2022/01
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31.
2022/01
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32.
2022/01
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2022/01
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