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• W1515069576 abstract "Memetic algorithms (MAs) constitute a metaheuristic op- timization paradigm based on the systematic exploitation of knowledge about the problem being solved, and the synergistic combination of ideas taken from other population-based and trajectory-based metaheuristics. They have been successfully deployed on a plethora of hard combina- torial optimization problems, amongst which scheduling, planning and timetabling are distinguished examples due to their practical interest. This work examines the application of MAs to problems in these do- mains. We describe the basic architecture of a MA, and present some guidelines to the design of a successful MA for these applications. An overview of the existing literature on the topic is also provided. We conclude with some reflections on the lessons learned, and the future directions that research could take in this area." @default.
• W1515069576 created "2016-06-24" @default.
• W1515069576 creator A5003753544 @default.
• W1515069576 creator A5076918148 @default.
• W1515069576 date "2007-01-01" @default.
• W1515069576 modified "2023-10-02" @default.
• W1515069576 title "Memetic Algorithms in Planning, Scheduling, and Timetabling" @default.
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• W1515069576 doi "https://doi.org/10.1007/978-3-540-48584-1_1" @default.
• W1515069576 hasPublicationYear "2007" @default.
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