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Abstract: The timetabling problem is well known to be NP complete combinatorial problem. The problem becomes even more complex when addressed to individual timetables of students. The core of dealing with the problem in this application is a timetable builder based on mixed direct-indirect encoding evolved by a genetic algorithm with a self-adaptation paradigm, where the parameters of the genetic algorithm are optimized during the same evolution cycle as the problem itself. The aim of this paper is ... (Update)
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1 the Complexity of Timetabling and Multicomodity Flow Problem.. (context) - Even, Iati et al. - 1976
1 Self-adaptation in Genetic Algorithms (context) - Perzina
1 Search Strategy for Constraint-Based Class-Teacher Timetabli.. (context) - Legierski - 2003
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