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

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

Publikováno v: Journal of Computational Social Science; Oct2024, Vol. 7 Issue 2, p2121-2145, 25p

Multi-Objective Deep Reinforcement Learning for Crowd Route Guidance Optimization

Autor: Nishida, Ryo, Tanigaki, Yuki, Onishi, Masaki, Hashimoto, Koichi

Publikováno v: Transportation Research Record; May 2024, Vol. 2678 Issue: 5 p617-633, 17p

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

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

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

Publikováno v: 2015 IEEE Congress on Evolutionary Computation (CEC); 2015, p854-861, 8p

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

Autor: Tanigaki, Yuki, Narukawa, Kaname, Nojima, Yusuke, Ishibuch, Hisao

Publikováno v: 2014 Joint 7th International Conference on Soft Computing & Intelligent Systems (SCIS) & 15th International Symposium on Advanced Intelligent Systems (ISIS); 2014, p637-642, 6p