Research Support Office, Okayama University of Science 
Faculty of Engineering, Department of Information and Computer Engineering
- Professor
- Kengo KATAYAMA
- Research Field
Computational Intelligence, Mathematical Optimization, Algorithm Engineering
- Keyword(s)
Intelligent Algorithms, Machine Learning, Scheduling
- Research theme
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- Optimization Algorithms for Graph, Routing, Scheduling Problems
- Development of High-Performance Algorithms such as Evolutionary Computations, Metaheuristics, and Local Search
- Development of Effective Machine Learning Algorithms
- Development of Smart Information Systems, Disaster Prevention Systems, etc.
Outline of research activities
Metaheuristic algorithms such as simulated annealing, iterated local search, genetic evolutionary algorithms are known to be effective optimization methods that can be used for various problems in engineering field. Our research interests are developments, improvements and analyses of high-performance evolutionary algorithms and metaheuristic algorithms based on local search for optimization problems such as Maximum Clique Problem, Graph Coloring Problem, Quadratic Assignment Problem, Facility Location Problem, Vehicle Routing Problem, Scheduling Problems, etc.
- Desired cooperation
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- Solutions and Optimizations for scheduling, routing, selections, and placements in business