Keiki Takadama
About
Keiki Takadama has authored 133 papers that have received a total of 363 indexed citations.
This includes 90 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 20 papers in Molecular Biology. The topics of these papers are Evolutionary Algorithms and Applications (65 papers), Metaheuristic Optimization Algorithms Research (64 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). Keiki Takadama is often cited by papers focused on Evolutionary Algorithms and Applications (65 papers), Metaheuristic Optimization Algorithms Research (64 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers) and collaborates with scholars based in Japan, United Kingdom and United States. Keiki Takadama's co-authors include Hiroyuki Satō, Masaya Nakata, Tim Kovacs, Katsunori Shimohara and Tomohiro Harada and has published in prestigious journals such as IEEE Access, IEEE Transactions on Evolutionary Computation and Lecture notes in computer science
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