Solving the post enrolment course timetabling problem by ant colony optimization
نویسندگان
چکیده
منابع مشابه
Solving the post enrolment course timetabling problem by ant colony optimization
In this work we present a new approach to tackle the problem of Post Enrolment Course Timetabling as specified for the International Timetabling Competition 2007 (ITC2007), competition track 2. The heuristic procedure is based on Ant Colony Optimization (ACO) where artificial ants successively construct solutions based on pheromones (stigmergy) and local information. The key feature of our algo...
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Ant System algorithms are nature-inspired population-based metaheuristics derived from the field of swarm intelligence. Seemingly, the ant system has a lack of search diversity control since it has only a global pheromone update that intensifies the search. Hence, one or more assistant mechanisms are required to strengthen the search of the ant system. Therefore, we propose, in this study, an e...
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This work was carried out in collaboration between both authors. Author KP designed the study, wrote the protocol and supervised the work. Authors KP and ZG carried out all laboratories work and performed the statistical analysis. Author KP managed the analyses of the study. Author KP wrote the first draft of the manuscript. Author ZG managed the literature searches and edited the manuscript. B...
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ژورنال
عنوان ژورنال: Annals of Operations Research
سال: 2012
ISSN: 0254-5330,1572-9338
DOI: 10.1007/s10479-012-1078-5