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Multiple-retrieval case-based reasoning for course timetabling problems(2001)
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AbstractThis paper presents amultiple-retriev6 approach that partitions a large problem into smallsolvS40 sub-problems byrecursiv5/ inputting theunsolv/ part of the graph into the decision tree for retrievSW The adaptation combines theretriev4 partial solutions of all the partitioned sub-problems and employs a graph heuristic method to construct the whole solution for the new case. We present a methodology which is not dependent upon problem-specific information and which, as such,...
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