Yuki Tanigaki

According to our database, Yuki Tanigaki authored at least 22 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CRAGE and GNN-based AI architecture for autonomous transitions in modular robots.

Kenichiro Satonaka, Ryusei Nishii, Ryota Kinjo, Seiichi Ohashi, Tomoya Negoro, Yuki Takagi, Hiroshi Oku, Yuki Tanigaki, Koki Harada, Ryo Ariizumi, Tomohiro Simomura, Guang Yang, Xixun Wang, Fumitoshi Matsuno

Artif. Life Robotics, February, 2026

2025

Graph-Embedded Neural Architecture Search: A Variational Approach for Optimized Model Design.

Kazuki Hemmi, Yuki Tanigaki, Kaisei Hara, Masaki Onishi

Comput. Mater. Continua, 2025

Dynamic zooming strategy with parameter importance and volume enforcement for parallel optimization.

Yotaro Yamaguchi, Yuki Tanigaki

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024

MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation.

Shusuke Shigenaka, Shunki Takami, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi

J. Comput. Soc. Sci., October, 2024

NAVIGATOR-D3: Neural Architecture Search Using VarIational Graph Auto-encoder Toward Optimal aRchitecture Design for Diverse Datasets.

Kazuki Hemmi, Yuki Tanigaki, Masaki Onishi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2022

Multiobjective Tree-Structured Parzen Estimator.

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi

J. Artif. Intell. Res., 2022

2021

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation.

Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems.

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios.

Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018

Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization.

Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Performance comparison of EMO algorithms on test problems with different search space shape.

Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Multiobjective data mining from solutions by evolutionary multiobjective optimization.

Yusuke Nojima, Yuki Tanigaki, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization.

Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff, Hisao Ishibuchi

Soft Comput., 2016

Meta-optimization based multi-objective test problem generation using WFG toolkit.

Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Modified Distance Calculation in Generational Distance and Inverted Generational Distance.

Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Algorithm structure optimization by choosing operators in multiobjective genetic local search.

Yuki Tanigaki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Preference-based NSGA-II for many-objective knapsack problems.

Yuki Tanigaki, Kaname Narukawa, Yusuke Nojima, Hisao Ishibuchi

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems.

Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Evolutionary many-objective optimization using preference on hyperplane.

Kaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems.

Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems.

Hisao Ishibuchi, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

2013

How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems.

Hisao Ishibuchi, Yuki Tanigaki, Naoya Akedo, Yusuke Nojima

Proceedings of the IEEE Congress on Evolutionary Computation, 2013