Yuichi Nagata

52 papers A 5B 19Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Associative Constructive Evolution: Enhancing Metaheuristics through Hebbian-Learned Generative Guidance.
CoRR
Shanxian Lin, Yuichi Nagata, Haichuan Yang
2026 J jnl
Multi-Constrained Evolutionary Molecular Design Framework: An Interpretable Drug Design Method Combining Rule-Based Evolution and Molecular Crossover.
CoRR
Shanxian Lin, Wei Xia, Yuichi Nagata, Haichuan Yang
2025 J jnl
Chaotic map-coded metaheuristics for metameric variable-length problems.
Genet. Program. Evolvable Mach.
Haichuan Yang, Haotian Li, Yifei Yang, Naoya Chiba, Shingo Kagami, Koichi Hashimoto, Yuichi Nagata
2024 B conf
Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization.
CEC
Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata
2024 J jnl
Creation of Dihedral Escher-like Tilings Based on As-Rigid-As-Possible Deformation.
ACM Trans. Graph.
Yuichi Nagata, Shinji Imahori
2022 J jnl
Escherization with Large Deformations Based on As-Rigid-As-Possible Shape Modeling.
ACM Trans. Graph.
Yuichi Nagata, Shinji Imahori
2020 J jnl
A genetic algorithm for the picture maze generation problem.
Comput. Oper. Res.
Yuichi Nagata, Akinori Imamiya, Norihiko Ono
2020 J jnl
An Efficient Exhaustive Search Algorithm for the Escherization Problem.
Algorithmica
Yuichi Nagata, Shinji Imahori
2020 J jnl
Escherization with Generalized Distance Functions Focusing on Local Structural Similarity.
CoRR
Yuichi Nagata, Shinji Imahori
2020 J jnl
High-Order Entropy-Based Population Diversity Measures in the Traveling Salesman Problem.
Evol. Comput.
Yuichi Nagata
2019 J jnl
An Efficient Algorithm for the Escherization Problem in the Polygon Representation.
CoRR
Yuichi Nagata, Shinji Imahori
2018 J jnl
A guided local search with iterative ejections of bottleneck operations for the job shop scheduling problem.
Comput. Oper. Res.
Yuichi Nagata, Isao Ono
2018 — conf
Escherization with a Distance Function Focusing on the Similarity of Local Structure.
PPSN (1)
Yuichi Nagata
2018 J jnl
Random partial neighborhood search for the post-enrollment course timetabling problem.
Comput. Oper. Res.
Yuichi Nagata
2016 A conf
Population Diversity Measures Based on Variable-Order Markov Models for the Traveling Salesman Problem.
PPSN
Yuichi Nagata
2014 A conf
Random Partial Neighborhood Search for University Course Timetabling Problem.
PPSN
Yuichi Nagata, Isao Ono
2013 J jnl
A Powerful Genetic Algorithm Using Edge Assembly Crossover for the Traveling Salesman Problem.
INFORMS J. Comput.
Yuichi Nagata, Shigenobu Kobayashi
2013 B conf
A new real-coded genetic algorithm for implicit constrained black-box function optimization.
IEEE Congress on Evolutionary Computation
Kento Uemura, Naotoshi Nakashima, Yuichi Nagata, Isao Ono
2013 B conf
A parallel genetic algorithm with edge assembly crossover for 100, 000-city scale TSPs.
IEEE Congress on Evolutionary Computation
Kazuma Honda, Yuichi Nagata, Isao Ono
2013 J jnl
An Evolutionary Algorithm for Black-Box Chance-Constrained Function Optimization.
J. Adv. Comput. Intell. Intell. Informatics
Kazuyuki Masutomi, Yuichi Nagata, Isao Ono
2013 B conf
Extending distance-weighted exponential natural evolution strategy for function optimization in uncertain environments.
IEEE Congress on Evolutionary Computation
Kazuyuki Masutomi, Yuichi Nagata, Isao Ono
2013 B conf
High-Order Sequence Entropies for Measuring Population Diversity in the Traveling Salesman Problem.
EvoCOP
Yuichi Nagata, Isao Ono
2012 — conf
A new Pareto frontier covering strategy in FS-MOGA for multi-objective function optimization.
SCIS&ISIS
Ryo Miyazaki, Naoki Hamada, Yuichi Nagata, Isao Ono
2012 J jnl
A new genetic algorithm for the asymmetric traveling salesman problem.
Expert Syst. Appl.
Yuichi Nagata, David Soler
2012 J jnl
Theoretical Foundation for CMA-ES from Information Geometry Perspective.
Algorithmica
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2012 J jnl
Theoretical foundation for CMA-ES from information geometric perspective
CoRR
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2011 B conf
A new framework taking account of multi-funnel functions for Real-coded Genetic Algorithms.
IEEE Congress on Evolutionary Computation
Kento Uemura, Shun-ichi Kinoshita, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011 B conf
Adaptive Weighted Aggregation 2: More scalable AWA for multiobjective function optimization.
IEEE Congress on Evolutionary Computation
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011 B conf
On scalability of Adaptive Weighted Aggregation for multiobjective function optimization.
IEEE Congress on Evolutionary Computation
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011 B conf
Proposal of distance-weighted exponential natural evolution strategies.
IEEE Congress on Evolutionary Computation
Nobusumi Fukushima, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2011 J jnl
The mixed capacitated general routing problem with turn penalties.
Expert Syst. Appl.
Olli Bräysy, Eulalia Martínez, Yuichi Nagata, David Soler
2010 — conf
A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover.
PPSN (1)
Yuichi Nagata, Shigenobu Kobayashi
2010 J jnl
A penalty-based edge assembly memetic algorithm for the vehicle routing problem with time windows.
Comput. Oper. Res.
Yuichi Nagata, Olli Bräysy, Wout Dullaert
2010 B conf
Adaptive weighted aggregation: A multiobjective function optimization framework taking account of spread and evenness of approximate solutions.
IEEE Congress on Evolutionary Computation
Naoki Hamada, Yuichi Nagata, Shigenobu Kobayashi, Isao Ono
2010 — conf
Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies.
PPSN (1)
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010 B conf
Globally multimodal function optimization by Real-Coded Genetic Algorithms using traps.
IEEE Congress on Evolutionary Computation
Naoya Karatsu, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010 B conf
Guided Ejection Search for the Pickup and Delivery Problem with Time Windows.
EvoCOP
Yuichi Nagata, Shigenobu Kobayashi
2010 — conf
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks.
NIPS
Atsushi Miyamae, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2010 A conf
Theoretical analysis of evolutionary computation on continuously differentiable functions.
GECCO
Youhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi
2009 J jnl
A powerful route minimization heuristic for the vehicle routing problem with time windows.
Oper. Res. Lett.
Yuichi Nagata, Olli Bräysy
2009 J jnl
Edge assembly-based memetic algorithm for the capacitated vehicle routing problem.
Networks
Yuichi Nagata, Olli Bräysy
2009 B conf
Guided Ejection Search for the Job Shop Scheduling Problem.
EvoCOP
Yuichi Nagata, Satoshi Tojo
2008 B conf
Efficient Local Search Limitation Strategies for Vehicle Routing Problems.
EvoCOP
Yuichi Nagata, Olli Bräysy
2007 B conf
Edge Assembly Crossover for the Capacitated Vehicle Routing Problem.
EvoCOP
Yuichi Nagata
2007 B conf
Efficient evolutionary algorithm for the vehicle routing problem with time windows: edge assembly crossover for the VRPTW.
IEEE Congress on Evolutionary Computation
Yuichi Nagata
2006 B conf
Fast EAX Algorithm Considering Population Diversity for Traveling Salesman Problems.
EvoCOP
Yuichi Nagata
2006 A conf
New EAX Crossover for Large TSP Instances.
PPSN
Yuichi Nagata
2006 B conf
Niching Method for Combinatorial Optimization Problems and Application to JSP.
IEEE Congress on Evolutionary Computation
Yuichi Nagata
2004 B conf
Criteria for designing crossovers for TSP.
IEEE Congress on Evolutionary Computation
Yuichi Nagata
2004 A conf
The EAX Algorithm Considering Diversity Loss.
PPSN
Yuichi Nagata
2004 — conf
The Lens Design Using the CMA-ES Algorithm.
GECCO (2)
Yuichi Nagata
1997 — conf
Edge Assembly Crossover: A High-Power Genetic Algorithm for the Travelling Salesman Problem.
ICGA
Yuichi Nagata, Shigenobu Kobayashi