| 2023 | ICAART | Improving the Human-Likeness of Game AI's Moves by Combining Multiple Prediction Models. | Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda |
| 2022 | ICAART | Graph Convolutional Networks for Turn-Based Strategy Games. | Wanxiang Li, Houkuan He, Chu-Hsuan Hsueh, Kokolo Ikeda |
| 2020 | ICAART | High-performance Algorithms using Deep Learning in Turn-based Strategy Games. | Tomihiro Kimura, Kokolo Ikeda |
| 2017 | ICAART | Optimized Non-visual Information for Deep Neural Network in Fighting Game. | Nguyen Duc Tang Tri, Vu Quang, Kokolo Ikeda |
| 2009 | CEC | Uncertainty of constraint function in Evolutionary Multi-objective Optimization. | Hirotaka Kaji, Kokolo Ikeda, Hajime Kita |
| 2009 | CEC | Avoidance of constraint violation for experiment-based evolutionary multi-objective optimization. | Hirotaka Kaji, Kokolo Ikeda, Hajime Kita |
| 2008 | CEC | Acceleration of parametric Multi-objective Optimization by an initialization technique for Multi-Objective Evolutionary Algorithms. | Hirotaka Kaji, Kokolo Ikeda, Hajime Kita |
| 2007 | CEC | State evaluation strategy for exemplar-based policy optimization of dynamic decision problems. | Kokolo Ikeda, Hajime Kita |
| 2007 | EMO | Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization. | Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita |
| 2006 | CEC | Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. | Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi |
| 2006 | GECCO | Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. | Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi |
| 2005 | CEC | Exemplar-based direct policy search with evolutionary optimization. | Kokolo Ikeda |
| 2003 | CEC | Independent constraint satisfaction and its application to sewerage system control. | Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi |
| 2002 | PPSN | Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs. | Kokolo Ikeda, Shigenobu Kobayashi |
| 2001 | CEC | Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal? | Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi |
| 2000 | PPSN | GA Based on the UV-Structure Hypothesis and Its Application to JSP. | Kokolo Ikeda, Shigenobu Kobayashi |