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Yuichi Nagata
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2020 – today
- 2024
- [j15]Yuichi Nagata, Shinji Imahori:
Creation of Dihedral Escher-like Tilings Based on As-Rigid-As-Possible Deformation. ACM Trans. Graph. 43(2): 18:1-18:18 (2024) - [c31]Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata:
Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. CEC 2024: 1-8 - 2022
- [j14]Yuichi Nagata, Shinji Imahori:
Escherization with Large Deformations Based on As-Rigid-As-Possible Shape Modeling. ACM Trans. Graph. 41(2): 11:1-11:16 (2022) - 2020
- [j13]Yuichi Nagata, Shinji Imahori:
An Efficient Exhaustive Search Algorithm for the Escherization Problem. Algorithmica 82(9): 2502-2534 (2020) - [j12]Yuichi Nagata, Akinori Imamiya, Norihiko Ono:
A genetic algorithm for the picture maze generation problem. Comput. Oper. Res. 115: 104860 (2020) - [j11]Yuichi Nagata:
High-Order Entropy-Based Population Diversity Measures in the Traveling Salesman Problem. Evol. Comput. 28(4): 595-619 (2020) - [i3]Yuichi Nagata, Shinji Imahori:
Escherization with Generalized Distance Functions Focusing on Local Structural Similarity. CoRR abs/2011.10175 (2020)
2010 – 2019
- 2019
- [i2]Yuichi Nagata, Shinji Imahori:
An Efficient Algorithm for the Escherization Problem in the Polygon Representation. CoRR abs/1912.09605 (2019) - 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) - [j9]Yuichi Nagata:
Random partial neighborhood search for the post-enrollment course timetabling problem. Comput. Oper. Res. 90: 84-96 (2018) - [c30]Yuichi Nagata:
Escherization with a Distance Function Focusing on the Similarity of Local Structure. PPSN (1) 2018: 108-120 - 2016
- [c29]Yuichi Nagata:
Population Diversity Measures Based on Variable-Order Markov Models for the Traveling Salesman Problem. PPSN 2016: 973-983 - 2014
- [c28]Yuichi Nagata, Isao Ono:
Random Partial Neighborhood Search for University Course Timetabling Problem. PPSN 2014: 782-791 - 2013
- [j8]Yuichi Nagata, Shigenobu Kobayashi:
A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. INFORMS J. Comput. 25(2): 346-363 (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) - [j5]Yuichi Nagata, David Soler:
A new genetic algorithm for the asymmetric traveling salesman problem. Expert Syst. Appl. 39(10): 8947-8953 (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
- [j4]Olli Bräysy, Eulalia Martínez, Yuichi Nagata, David Soler:
The mixed capacitated general routing problem with turn penalties. Expert Syst. Appl. 38(10): 12954-12966 (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
- [j3]Yuichi Nagata, Olli Bräysy, Wout Dullaert:
A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows. Comput. Oper. Res. 37(4): 724-737 (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 - [c16]Yuichi Nagata, Shigenobu Kobayashi:
Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. EvoCOP 2010: 202-213 - [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 - [c12]Yuichi Nagata, Shigenobu Kobayashi:
A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover. PPSN (1) 2010: 536-545
2000 – 2009
- 2009
- [j2]Yuichi Nagata, Olli Bräysy:
Edge assembly-based memetic algorithm for the capacitated vehicle routing problem. Networks 54(4): 205-215 (2009) - [j1]Yuichi Nagata, Olli Bräysy:
A powerful route minimization heuristic for the vehicle routing problem with time windows. Oper. Res. Lett. 37(5): 333-338 (2009) - [c11]Yuichi Nagata, Satoshi Tojo:
Guided Ejection Search for the Job Shop Scheduling Problem. EvoCOP 2009: 168-179 - 2008
- [c10]Yuichi Nagata, Olli Bräysy:
Efficient Local Search Limitation Strategies for Vehicle Routing Problems. EvoCOP 2008: 48-60 - 2007
- [c9]Yuichi Nagata:
Efficient evolutionary algorithm for the vehicle routing problem with time windows: edge assembly crossover for the VRPTW. IEEE Congress on Evolutionary Computation 2007: 1175-1182 - [c8]Yuichi Nagata:
Edge Assembly Crossover for the Capacitated Vehicle Routing Problem. EvoCOP 2007: 142-153 - 2006
- [c7]Yuichi Nagata:
Niching Method for Combinatorial Optimization Problems and Application to JSP. IEEE Congress on Evolutionary Computation 2006: 2822-2829 - [c6]Yuichi Nagata:
Fast EAX Algorithm Considering Population Diversity for Traveling Salesman Problems. EvoCOP 2006: 171-182 - [c5]Yuichi Nagata:
New EAX Crossover for Large TSP Instances. PPSN 2006: 372-381 - 2004
- [c4]Yuichi Nagata:
Criteria for designing crossovers for TSP. IEEE Congress on Evolutionary Computation 2004: 1465-1472 - [c3]Yuichi Nagata:
The Lens Design Using the CMA-ES Algorithm. GECCO (2) 2004: 1189-1200 - [c2]Yuichi Nagata:
The EAX Algorithm Considering Diversity Loss. PPSN 2004: 332-341
1990 – 1999
- 1997
- [c1]Yuichi Nagata, Shigenobu Kobayashi:
Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. ICGA 1997: 450-457
Coauthor Index
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last updated on 2024-08-21 20:21 CEST by the dblp team
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