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A multi-mode resource-constrained scheduling problem in the context of port operations
Affiliation:1. Department of Computer Science, Federal University of Espirito Santo, Vitoria, Brazil;2. Department of Computer Science, FAESA, Vitoria, Brazil;1. Siberian State Industrial University, Kirova Str. 42, Novokuznetsk 654007, Russia;2. Institute of Thermophysics, Siberian Branch of the Russian Academy of Sciences, Ac. Lavrentieva ave. 1, Novosibirsk 630090, Russia;1. Department of Industrial and Systems Engineering, Chung-Yuan Christian University, Taiwan, ROC;2. Department of Hotel Management, Vanung University, Tao Yuan, Taiwan, ROC;1. Department of Pharmacology & Toxicology, Faculty of Veterinary Medicine, P.O. Box 1177, Urmia University, Urmia, Iran;2. Department of Comparative Histology, Faculty of Veterinary Medicine, P.O. Box 1177, Urmia University, Urmia, Iran;1. Graduate Institute of Electrical Engineering, Electrical Engineering Department, Green Technology Research Center, and Health Aging Research Center, Chang-Gung University, Taiwan;2. Graduate Institute of Electrical Engineering, Chang-Gung University, Taiwan;3. Electrical Engineering Department, Chang-Gung University, Taiwan;1. School of Computer Science, McGill University, Canada;2. Department of Electrical and Computer Engineering, University of Waterloo, Canada;3. School of Information and Electronics, Beijing Institute of Technology, China
Abstract:We discuss a problem of attending ships within agreed time limits at a port under the condition of the first come first served order. In addition, we indicate the use of the developed tool to support decisions at a strategic level with the objective of improving the attendance of the ships. The tool is based on a mathematical model of a multi-mode resource-constrained scheduling problem and on an extension of a differential evolution algorithm. We illustrate the implementation by computational tests with data generated on the basis of the characteristics of a real port environment.
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