Reactive Search and Intelligent Optimization
Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by
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OPERATIONS RESEARCH/COMPUTER SCIENCE INTERFACES Professor Ramesh Sharda Prof. Dr. Stefan Voß Oklahoma State University
Universität Hamburg
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