Keiki TAKADAMA
Professor
All Nippon Airlways (ANA) 1995/04/01-1995/09/30
Advanced Telecommunications Research Institute International (ATR) Researcher 1998/10/01-2002/03/31
Tokyo Institute of Technology Lecturer 2002/04/01-2006/04/30
The University of Electro-Communications Associate Proffesor 2006/05/01-2010/03/31
The University of Electro-Communications Associate Professor 2010/04/01-2011/04/30
The University of Electro-Communications Professor 2011/05/01-Present
Academic back ground
Kyoto University Graduate school of Engineering Applied Systems Science Master’s program 1995/03 Completed
The University of Tokyo Faculty of Engineering Advanced Science and Technology Doctoral program 1998/09 Completed
Published books
Book Journal of Advanced Computational Intelligence and Intelligent Informatics Vol. 21, No. 5 2017
Book Designing the learning goal space for human toward acquiring a creative learning skill Okudo, T., Takadama, K., and Yamaguchi, T. Springer–Verlag 2017/07/12
Book Towards Adaptive Aircraft Landing Order with Aircraft Routes Partially Fixed by Air Traffic controllers as Human Intervention, Murata, A., Sato, H., and Takadama, K. Springer–Verlag 2017/07/12
Book Crater Detection Method using Principle Component Analysis and Its Evaluation, Takino, T., Nomura, I., Irie, J., Nagata, S., Kamata, H.,Takadama, K., Fukuda, S., Sawai, S., and Sakai, S. Post-proceeding of The 30th International Symposium on Space Technology and Science: ISTS2015 2016
Book Communication-less Cooperative Q-learning Agents in Maze Problem, Uwano, F. and Takadama, K. Springer–Verlag 453–467 2016/11/17
View details…Published papers
Paper Yes Multi-Agent Cooperation Based on Reinforcement Learning with Internal Reward in Maze Problem, Joint Uwano, F., Tatebe, N., Nakata, M., Tajima, Y., Kovacs, T., and Takadama, K.: SICE Journal of Control, Measurement, and System Integration (JCMSI) to appear 2017
Paper Yes Deployment of Wireless Mesh Network Using RSSI-Based Swarm Robots:Passing Narrow Corridor by Movement Function along Walls, Joint Hattori, K., Tatebe, N.,
Kagawa, T., Owada, Y., Shan, L., and Temma, K., Hamaguchi, K., and Takadama, K. Journal Artificial Life and Robotics to appear 2016
Paper Yes Evolutionary Multi-Objective Route and Fleet Assignment Optimization for Regular and Non-Regular Flight, Joint Takadama, K., Jinba, T., Harada, T., Sato, H. International Journal of Automation and Logistics (IJAL) 2/ 1/2, 122-152 2016 10.1504/IJAL.2016.074924
Paper Yes Awareness based recommendation – passively interactive learning system Joint Yamaguchi, T., Nishimura, T., and Takadama, K. International Journal of Robotics Applications and Technologies (IJRAT) Vol.4/ issue 1, 83-99 2016 10.4018/IJRAT.2016010105
Paper Yes Multi-agent based Bus Route Optimization for Restricting Passenger Traffic Bottlenecks in Disaster Situations, Joint Morimoto, S., Jinba, T., Kitagawa, H., Takadama, K., Majima, T., Watanabe, D., and Katuhara, M. International Journal of Automation and Logistics (IJAL) 2/ 1/2, 153-177 2016 10.1504/IJAL.2016.074936
View details…Research presentations
Oral presentation for an academic conference Strategy to Improve Cuckoo Search toward Adapting Randomly Changing Environment The Eighth International Conference on Swarm Intelligence (ICSI 2017) to appear Yes Umenai, Y., Uwano, F., Sato, H., and Takadama, K. 2017/07/27
Oral presentation for an academic conference A Study of Self-Adaptive Semi-Asynchronous Evolutionary Algorithm on Multi-Objective Optimization Problem, Workshop on Parallel and Distributed Evolutionary Inspired Method,in Genetic and Evolutionary Computation Conference (GECCO 2017) to appear Yes Harada, T. and Takadama, K. 2017/07/17
Oral presentation for an academic conference An Improved MOEA/D Utilizing Variation Angles for Multi-Objective Optimization, Genetic and Evolutionary Computation Conference (GECCO 2017) to appear Yes Sato, H., Miyakawa, M., and Takadama K. 2017/07/17
Oral presentation for an academic conference Automatic Adjustment of Selection Pressure based on Range of Reward in Learning Classifier System, Genetic and Evolutionary Computation Conference (GECCO 2017) to appear Yes Tatsumi, T., Sato, H., and Takadama, K. 2017/07/17
Oral presentation for an academic conference Theoretical XCS Parameter Settings of Learning Accurate Classifiers, Genetic and Evolutionary Computation Conference (GECCO 2017) to appear Yes Nakata, M., Browne, W., Hamagami, T., and Takadama, K. 2017/07/17
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