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ORCIDKiyoharu Tagawa
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2020 – today
- 2023
[c32]Kiyoharu Tagawa, Yukiko Orito:
Fitness Landscape Analysis of Prospect Theory-Based Portfolio Optimization Problem Using Loan. SICE 2023: 878-883- 2022
- [c31]Kiyoharu Tagawa:
Approximate Solution using Machine Learning and Evolutionary Algorithm for Large-Scale Data-Driven Chance Constrained Problems. SCIS/ISIS 2022: 1-6 - 2021
- [c30]Kiyoharu Tagawa:
A Mapping-Based Convex Constraint-Handling Technique for Evolutionary Algorithms. SICE 2021: 811-816 - 2020
- [j2]Kiyoharu Tagawa
:
An Approach to Chance Constrained Problems Based on Huge Data Sets Using Weighted Stratified Sampling and Adaptive Differential Evolution. Comput. 9(2): 32 (2020) - [c29]Kiyoharu Tagawa:
An Interest Rate Decision Method for Risk-averse Portfolio Optimization using Loan. COMPLEXIS 2020: 15-24
2010 – 2019
- 2019
- [c28]Kiyoharu Tagawa:
Group-based Adaptive Differential Evolution For Chance Constrained Portfolio Optimization Using Bank Deposit and Bank Loan. CEC 2019: 1556-1563 - [c27]Kiyoharu Tagawa:
Data Reduction via Stratified Sampling for Chance Constrained Optimization with Application to Flood Control Planning. ICIST 2019: 485-497 - [c26]Kiyoharu Tagawa:
A Big Data based Approach to Chance Constrained Problems Using Weighted Stratified Sampling and Differential Evolution. SICE 2019: 1473-1478 - 2018
- [c25]Kiyoharu Tagawa:
Truncated Halton Sequence and Adaptive Differential Evolution to Solve Joint Chance Constrained Problems with Application to Flood Control Planning. EECS 2018: 438-444 - [c24]Kiyoharu Tagawa:
Extension of weighted empirical distribution and group-based adaptive differential evolution for joint chance constrained problems. GECCO (Companion) 2018: 223-224 - [c23]Kiyoharu Tagawa:
Critical Fractile Optimization Method Using Truncated Halton Sequence with Application to SAW Filter Design. PPSN (1) 2018: 464-475 - 2017
- [c22]Kiyoharu Tagawa, Shun Miyanaga:
Weighted empirical distribution based approach to Chance Constrained Optimization Problems using Differential Evolution. CEC 2017: 97-104 - [c21]Kiyoharu Tagawa, Shohei Fujita:
Chebyshev Inequality Based Approach to Chance Constrained Optimization Problems Using Differential Evolution. ICSI (1) 2017: 440-448 - 2015
- [c20]Kiyoharu Tagawa, Hirokazu Takeuchi, Atsushi Kodama:
Memetic Differential Evolutions using adaptive Golden Section Search and their concurrent implementation techniques. CEC 2015: 2532-2539 - [c19]Kiyoharu Tagawa, Shoichi Harada:
Multi-Noisy-Hard-Objective Robust Design of Balanced Surface Acoustic Wave Filters Based on Prediction of Worst-Case Performance. EvoApplications 2015: 616-628 - 2014
- [c18]Kiyoharu Tagawa, Shoichi Harada:
Multi-Noisy-objective Optimization Based on Prediction of Worst-Case Performance. TPNC 2014: 23-34 - [p1]Kiyoharu Tagawa:
Concurrent Implementation Techniques Using Differential Evolution for Multi-Core CPUs: A Comparative Study Using Statistical Tests. Evolution, Complexity and Artificial Life 2014: 261-280 - 2013
- [c17]Kiyoharu Tagawa, Kenichi Nakajima:
Island-based differential evolution with panmictic migration for multi-core CPUs. IEEE Congress on Evolutionary Computation 2013: 852-859 - [c16]Kiyoharu Tagawa, Akihiro Imamura:
Many-hard-objective optimization using differential evolution based on two-stage constraint-handling. GECCO 2013: 671-678 - 2012
- [c15]Kiyoharu Tagawa:
Concurrent Differential Evolution Based on Generational Model for Multi-core CPUs. SEAL 2012: 12-21 - 2011
- [j1]Takashi Ishimizu, Kiyoharu Tagawa:
Experimental Study of a Structured Differential Evolution with Mixed Strategies. J. Adv. Comput. Intell. Intell. Informatics 15(9): 1310-1319 (2011) - [c14]Kiyoharu Tagawa, Hidehito Shimizu, Hiroyuki Nakamura:
Indicator-based differential evolution using exclusive hypervolume approximation and parallelization for multi-core processors. GECCO 2011: 657-664 - 2010
- [c13]Takashi Ishimizu, Kiyoharu Tagawa:
Experiment study of a Structured Differential Evolution with mixed strategies. NaBIC 2010: 591-596 - [c12]Kiyoharu Tagawa, Yukinori Sasaki, Hiroyuki Nakamura:
Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution. SEAL 2010: 466-475 - [c11]Kiyoharu Tagawa, Takashi Ishimizu:
A comparative study of distance dependent survival selections for sequential DE. SMC 2010: 3493-3500
2000 – 2009
- 2009
- [c10]Kiyoharu Tagawa:
A statistical study of the Differential Evolution based on continuous generation model. IEEE Congress on Evolutionary Computation 2009: 2614-2621 - [c9]Kiyoharu Tagawa:
Survival selection methods for the Differential Evolution based on continuous generation model. ISADS 2009: 423-428 - 2008
- [c8]Kiyoharu Tagawa:
Evolutionary computation techniques for the optimum design of Balanced Surface Acoustic Wave filters. IEEE Congress on Evolutionary Computation 2008: 299-304 - 2006
- [c7]Kiyoharu Tagawa, Norihiko Kojima:
Multi-Objective Optimum Design of DMS Filters Using Robust Engineering and Genetic Algorithm. IEEE Congress on Evolutionary Computation 2006: 2208-2214 - [c6]Kiyoharu Tagawa, Mikiyasu Matsuoka:
Optimum Design of Surface Acoustic Wave Filters Based on the Taguchi's Quality Engineering with a Memetic Algorithm. PPSN 2006: 292-301 - 2005
- [c5]Kiyoharu Tagawa, Mikiyasu Masuoka, Masahiko Tsukamoto:
Robust optimum design of SAW filters with the Taguchi method and a memetic algorithm. Congress on Evolutionary Computation 2005: 2146-2153 - [c4]Kiyoharu Tagawa, Yuzo Ohta:
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm. ISCAS (4) 2005: 3191-3194 - 2003
- [c3]Kiyoharu Tagawa, Tetsuya Yamamoto, T. Igaki, S. Seki:
An Imanishian genetic algorithm for the optimum design of surface acoustic wave filter. IEEE Congress on Evolutionary Computation 2003: 2748-2755 - 2002
- [c2]Kiyoharu Tagawa, Hiromasa Haneda, Koji Mizutani:
An Imanishian Genetic Algorithm: An Application to the Module Placement Problem. GECCO Late Breaking Papers 2002: 427-434
1990 – 1999
- 1999
- [c1]Kiyoharu Tagawa, Kenji Kanesige, Katsumi Inoue, Hiromasa Haneda:
Distance based hybrid genetic algorithm: an application for the graph coloring problem. CEC 1999: 2325-2332
Coauthor Index
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