Research keywords (2):
Constrained Multi-Objective Optimization
, Evolutionary Computation
Research theme for competitive and other funds (3):
2019 - 2022 解の制約許容量を活用する進化計算による制約付き多目的最適化
2016 - 2019 工学設計に向けた進化計算による制約付き多目的最適化
2014 - 2016 有用な実行不可能解を活用する複数制約付き進化型多目的最適化
Papers (71):
Yuji Sato, Mikiko Sato, Minami Miyakawa. Distributed NSGA-II Sharing Extreme Non-dominated Solutions for Improving Accuracy and Achieving Speed-up. Proc. of the 2019 IEEE Congress on Evolutionary Computation (CEC2019). 2019. 3087-3094
Minami Miyakawa, Hiroyuki Sato, Yuji Sato. A Study for Parallelization of Multi-Objective Evolutionary Algorithm based on Decomposition and Directed Mating. Minami Miyakawa, Hiroyuki Sato, Yuji Sato. 2019
From a PhD student to an independent researcher: Challenges and Opportunities
(Women@GECCO, 2018 Genetic and Evolutionary Computation Conference (GECCO 2018) 2018)
Utilization of Infeasible Solutions in Constrained Many-objective Evolutionary Algorithm Based on Decomposition
(The 2017 Asia Pacific Society for Computing and Information Technology (APSCIT), APSCIT 2017 Annual Meeting 2017)
Professional career (1):
博士(工学) (電気通信大学)
Awards (8):
2016/03 - The University of Electro-Communications Student Award
2016/03 - NCSP'16 Students Paper Award
2015/12 - Transaction of the Japanese Society for Evolutionary Computation Best Paper Award
2014/03 - The University of Electro-Communications Student Award
2013/12 - IEEE Computational Intelligence Society Japan Chapter Young Researcher Award
2013/09 - 5th Workshop of Evolutionary Computation Best Poster Presentation Award
2013/03 - Megurokai Megurokai Prize
2013/03 - The University of Electro-Communications Student Award