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- W156721468 abstract "In this paper, we propose a new algorithm to solve university course timetabling problems using a Particle Swarm Optimization (PSO). PSOs are being increasingly applied to obtain near-optimal solutions to many numerical optimization problems. However, it is also being increasingly realized that PSOs do not solve constraint satisfaction problems as well as other meta-heuristics do. In this paper, we introduce transition probability into PSO to settle this problem. Experiments using timetables of the University of Tsukuba showed that this approach is a more effective solution than an Evolution Strategy." @default.
- W156721468 created "2016-06-24" @default.
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- W156721468 date "2013-01-01" @default.
- W156721468 modified "2023-09-27" @default.
- W156721468 title "Particle Swarm Optimization with Transition Probability for Timetabling Problems" @default.
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- W156721468 doi "https://doi.org/10.1007/978-3-642-37213-1_27" @default.
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