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ORCIDYuichi Nagata
- > Home > Persons > Yuichi Nagata
Publications
- 2018
[j10]Yuichi Nagata, Isao Ono:
A guided local search with iterative ejections of bottleneck operations for the job shop scheduling problem. Comput. Oper. Res. 90: 60-71 (2018)- 2014
- [c28]Yuichi Nagata, Isao Ono:
Random Partial Neighborhood Search for University Course Timetabling Problem. PPSN 2014: 782-791 - 2013
- [j7]Kazuyuki Masutomi, Yuichi Nagata, Isao Ono:
An Evolutionary Algorithm for Black-Box Chance-Constrained Function Optimization. J. Adv. Comput. Intell. Intell. Informatics 17(2): 272-282 (2013) - [c27]Kazuma Honda, Yuichi Nagata, Isao Ono:
A parallel genetic algorithm with edge assembly crossover for 100, 000-city scale TSPs. IEEE Congress on Evolutionary Computation 2013: 1278-1285 - [c26]Kazuyuki Masutomi, Yuichi Nagata, Isao Ono:
Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments. IEEE Congress on Evolutionary Computation 2013: 2122-2129 - [c25]Kento Uemura, Naotoshi Nakashima, Yuichi Nagata, Isao Ono:
A new real-coded genetic algorithm for implicit constrained black-box function optimization. IEEE Congress on Evolutionary Computation 2013: 2887-2894 - [c24]Yuichi Nagata, Isao Ono:
High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem. EvoCOP 2013: 179-190 - 2012
- [j6]Youhei Akimoto
, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica 64(4): 698-716 (2012) - [c23]Ryo Miyazaki, Naoki Hamada, Yuichi Nagata, Isao Ono:
A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization. SCIS&ISIS 2012: 1888-1893 - [i1]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical foundation for CMA-ES from information geometric perspective. CoRR abs/1206.0730 (2012) - 2011
- [c22]Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Proposal of distance-weighted exponential natural evolution strategies. IEEE Congress on Evolutionary Computation 2011: 164-171 - [c21]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization. IEEE Congress on Evolutionary Computation 2011: 669-678 - [c20]Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms. IEEE Congress on Evolutionary Computation 2011: 2091-2098 - [c19]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization. IEEE Congress on Evolutionary Computation 2011: 2375-2382 - 2010
- [c18]Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono:
Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c17]Naoya Karatsu, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c15]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO 2010: 1401-1408 - [c14]Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. NIPS 2010: 1660-1668 - [c13]Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi:
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) 2010: 154-163
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