| Modified distance calculation in generational distance and inverted generational distance H Ishibuchi, H Masuda, Y Tanigaki, Y Nojima Evolutionary Multi-Criterion Optimization: 8th International Conference, EMO …, 2015 | 495 | 2015 |
| Multiobjective tree-structured parzen estimator for computationally expensive optimization problems Y Ozaki, Y Tanigaki, S Watanabe, M Onishi Proceedings of the 2020 genetic and evolutionary computation conference, 533-541, 2020 | 140 | 2020 |
| Difficulties in specifying reference points to calculate the inverted generational distance for many-objective optimization problems H Ishibuchi, H Masuda, Y Tanigaki, Y Nojima 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2014 | 111 | 2014 |
| Multiobjective tree-structured Parzen estimator Y Ozaki, Y Tanigaki, S Watanabe, M Nomura, M Onishi Journal of Artificial Intelligence Research 73, 1209-1250, 2022 | 50 | 2022 |
| Distance-based analysis of crossover operators for many-objective knapsack problems H Ishibuchi, Y Tanigaki, H Masuda, Y Nojima Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 38 | 2014 |
| Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization K Narukawa, Y Setoguchi, Y Tanigaki, M Olhofer, B Sendhoff, H Ishibuchi Soft Computing 20, 2733-2757, 2016 | 22 | 2016 |
| Preference-based NSGA-II for many-objective knapsack problems Y Tanigaki, K Narukawa, Y Nojima, H Ishibuch 2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014 | 22 | 2014 |
| Review of coevolutionary developments of evolutionary multi-objective and many-objective algorithms and test problems H Ishibuchi, H Masuda, Y Tanigaki, Y Nojima 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2014 | 21 | 2014 |
| Evolutionary many-objective optimization using preference on hyperplane K Narukawa, Y Tanigaki, H Ishibuchi Proceedings of the Companion Publication of the 2014 Annual Conference on …, 2014 | 16 | 2014 |
| How to strike a balance between local search and global search in multiobjective memetic algorithms for multiobjective 0/1 knapsack problems H Ishibuchi, Y Tanigaki, N Akedo, Y Nojima 2013 IEEE Congress on Evolutionary Computation, 1643-1650, 2013 | 11 | 2013 |
| Multiobjective data mining from solutions by evolutionary multiobjective optimization Y Nojima, Y Tanigaki, H Ishibuchi Proceedings of the genetic and evolutionary computation conference, 617-624, 2017 | 5 | 2017 |
| Evolutionary multiobjective optimization for pedestrian route guidance with multiple scenarios Y Tanigaki, Y Ozaki, S Shigenaka, M Onishi 2020 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2020 | 4 | 2020 |
| Meta-optimization based multi-objective test problem generation using WFG toolkit Y Tanigaki, Y Nojima, H Ishibuchi 2016 IEEE Congress on Evolutionary Computation (CEC), 2768-2775, 2016 | 4 | 2016 |
| Multiobjective evolutionary data mining for performance improvement of evolutionary multiobjective optimization Y Nojima, Y Tanigaki, N Masuyama, H Ishibuchi 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 3 | 2018 |
| Algorithm structure optimization by choosing operators in multiobjective genetic local search Y Tanigaki, H Masuda, Y Setoguchi, Y Nojima, H Ishibuchi 2015 IEEE Congress on Evolutionary Computation (CEC), 854-861, 2015 | 3 | 2015 |
| MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation S Shigenaka, S Takami, S Watanabe, Y Tanigaki, Y Ozaki, M Onishi Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 2 | 2021 |
| Effects of the number of constraints on the performance of multi-objective evolutionary algorithms Y Tanigaki, N Masuyama, Y Nojima International Journal of Computer Science and Network Security 18 (12), 221-231, 2018 | 2 | 2018 |
| Multi-Objective Deep Reinforcement Learning for Crowd Route Guidance Optimization R Nishida, Y Tanigaki, M Onishi, K Hashimoto Transportation Research Record, 03611981231190635, 2023 | 1 | 2023 |
| Mc-darts: Model size constrained differentiable architecture search K Hemmi, Y Tanigaki, M Onishi Has it Trained Yet? NeurIPS 2022 Workshop, 2022 | 1 | 2022 |
| Performance comparison of EMO algorithms on test problems with different search space shape Y Tanigaki, Y Nojima, H Ishibuchi 2017 Joint 17th World Congress of International Fuzzy Systems Association …, 2017 | 1 | 2017 |
