TY - BOOK ID - 8429390 TI - Automated Scheduling and Planning : From Theory to Practice AU - Uyar, A. Sima. AU - Ozcan, Ender. AU - Urquhart, Neil. PY - 2013 SN - 3642393039 3642393047 PB - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, DB - UniCat KW - Engineering. KW - Artificial intelligence. KW - Computational Intelligence. KW - Artificial Intelligence (incl. Robotics). KW - Computer scheduling KW - Scheduling KW - Engineering & Applied Sciences KW - Computer Science KW - Computer programs KW - Electronic data processing KW - Processor scheduling (Electronic data processing) KW - Scheduling of electronic data processing KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Construction KW - Computational intelligence. KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Industrial arts KW - Technology KW - Intelligence, Computational KW - Artificial intelligence KW - Computer scheduling. KW - Computer programs. KW - Production scheduling KW - Time-sharing computer systems KW - Artificial Intelligence. KW - Soft computing UR - https://www.unicat.be/uniCat?func=search&query=sysid:8429390 AB -   Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by leading researchers from across the world. Each case study examines a challenging real-world problem by analysing the problem in detail before investigating how the problem may be solved using state of the art techniques.The areas covered include aircraft scheduling, microprocessor instruction scheduling, sports fixture scheduling, exam scheduling, personnel scheduling and production scheduling.  Problem solving methodologies covered include exact as well as (meta)heuristic approaches, such as local search techniques, linear programming, genetic algorithms and ant colony optimisation.The field of automated scheduling has the potential to impact many aspects of our lives and work; this book highlights contributions to the field by world class researchers.    . ER -