Yuichi Nagata

Yuichi Nagata, Shigenobu Kobayashi: A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem. INFORMS Journal on Computing 25(2): 346-363 (2013)

Yuichi Nagata, Isao Ono: High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem. EvoCOP 2013: 179-190

Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi: Theoretical Foundation for CMA-ES from Information Geometry Perspective. Algorithmica 64(4): 698-716 (2012)

Yuichi Nagata, David Soler: A new genetic algorithm for the asymmetric traveling salesman problem. Expert Syst. Appl. 39(10): 8947-8953 (2012)

Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi: Theoretical foundation for CMA-ES from information geometric perspective. CoRR abs/1206.0730 (2012)

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)

Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono: Proposal of distance-weighted exponential natural evolution strategies. IEEE Congress on Evolutionary Computation 2011: 164-171

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

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

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

Yuichi Nagata, Olli Bräysy, Wout Dullaert: A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows. Computers & OR 37(4): 724-737 (2010)

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

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

Yuichi Nagata, Shigenobu Kobayashi: Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. EvoCOP 2010: 202-213

Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi: Theoretical analysis of evolutionary computation on continuously differentiable functions. GECCO 2010: 1401-1408

Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi: Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks. NIPS 2010: 1660-1668

Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi: Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies. PPSN (1) 2010: 154-163

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

Yuichi Nagata, Olli Bräysy: Edge assembly-based memetic algorithm for the capacitated vehicle routing problem. Networks 54(4): 205-215 (2009)

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)

Yuichi Nagata, Satoshi Tojo: Guided Ejection Search for the Job Shop Scheduling Problem. EvoCOP 2009: 168-179

Yuichi Nagata, Olli Bräysy: Efficient Local Search Limitation Strategies for Vehicle Routing Problems. EvoCOP 2008: 48-60

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

Yuichi Nagata: Edge Assembly Crossover for the Capacitated Vehicle Routing Problem. EvoCOP 2007: 142-153

Yuichi Nagata: Fast EAX Algorithm Considering Population Diversity for Traveling Salesman Problems. EvoCOP 2006: 171-182

Yuichi Nagata: New EAX Crossover for Large TSP Instances. PPSN 2006: 372-381

Yuichi Nagata: The Lens Design Using the CMA-ES Algorithm. GECCO (2) 2004: 1189-1200

Yuichi Nagata: The EAX Algorithm Considering Diversity Loss. PPSN 2004: 332-341

Yuichi Nagata, Shigenobu Kobayashi: Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem. ICGA 1997: 450-457