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Yuki Tanigaki
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2020 – today
- 2022
- [j2]Yoshihiko Ozaki
, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi:
Multiobjective Tree-Structured Parzen Estimator. J. Artif. Intell. Res. 73: 1209-1250 (2022) - 2021
- [c15]Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, Masaki Onishi:
MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. AAMAS 2021: 1652-1654 - 2020
- [c14]Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka, Masaki Onishi:
Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios. CEC 2020: 1-7 - [c13]Yoshihiko Ozaki
, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi:
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. GECCO 2020: 533-541
2010 – 2019
- 2018
- [c12]Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima
, Hisao Ishibuchi:
Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. SMC 2018: 745-750 - 2017
- [c11]Yusuke Nojima
, Yuki Tanigaki, Hisao Ishibuchi:
Multiobjective data mining from solutions by evolutionary multiobjective optimization. GECCO 2017: 617-624 - [c10]Yuki Tanigaki, Yusuke Nojima
, Hisao Ishibuchi:
Performance comparison of EMO algorithms on test problems with different search space shape. IFSA-SCIS 2017: 1-6 - 2016
- [j1]Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff
, Hisao Ishibuchi
:
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. 20(7): 2733-2757 (2016) - [c9]Yuki Tanigaki, Yusuke Nojima
, Hisao Ishibuchi:
Meta-optimization based multi-objective test problem generation using WFG toolkit. CEC 2016: 2768-2775 - 2015
- [c8]Yuki Tanigaki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima
, Hisao Ishibuchi:
Algorithm structure optimization by choosing operators in multiobjective genetic local search. CEC 2015: 854-861 - [c7]Hisao Ishibuchi
, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
:
Modified Distance Calculation in Generational Distance and Inverted Generational Distance. EMO (2) 2015: 110-125 - 2014
- [c6]Hisao Ishibuchi
, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
:
Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems. MCDM 2014: 170-177 - [c5]Hisao Ishibuchi
, Hiroyuki Masuda, Yuki Tanigaki, Yusuke Nojima
:
Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems. MCDM 2014: 178-184 - [c4]Kaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi
:
Evolutionary many-objective optimization using preference on hyperplane. GECCO (Companion) 2014: 91-92 - [c3]Hisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima
:
Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems. PPSN 2014: 600-610 - [c2]Yuki Tanigaki, Kaname Narukawa, Yusuke Nojima
, Hisao Ishibuchi:
Preference-based NSGA-II for many-objective knapsack problems. SCIS&ISIS 2014: 637-642 - 2013
- [c1]Hisao Ishibuchi
, Yuki Tanigaki, Naoya Akedo, Yusuke Nojima
:
How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems. IEEE Congress on Evolutionary Computation 2013: 1643-1650
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