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- W2021661179 abstract "Constraint Programming constitutes a prominent paradigm for solving time-consuming Constraint Satisfaction Problems (CSPs). In this work, at first we model a generic course scheduling problem as a CSP, that complies with the International Timetabling Competition (ITC) standards. Constraint Programming allowed us to search for a solution via several state-of-the-art methodologies and compare them. For the stochastic search methods, we propose new hybrid semi-random heuristics. Second, we chose to maintain bounds consistency during search to prune `no-good' branches of the search tree. We theoretically define new lightweight consistency types, namely k-bounds-consistency, in order to speed up the overall search procedure. Eventually, we process real world data and show the efficiency of our proposal: While plain backtracking produces poor results, constraint propagation dramatically boosts the solutions quality, and can be `fine-tuned' in our adjustable schema to make it even faster." @default.
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- W2021661179 date "2012-11-01" @default.
- W2021661179 modified "2023-09-24" @default.
- W2021661179 title "Course Scheduling in an Adjustable Constraint Propagation Schema" @default.
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- W2021661179 doi "https://doi.org/10.1109/ictai.2012.53" @default.
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