Ahlem Bouziri

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The two-dimensional layout optimization problem consists of finding the minimal length layout of a set of irregular two dimensional shapes on a stock sheet of finite width but infinite length. The layout should not contain any overlaps. The present paper solves this problem using a novice heuristic based on GA. The proposed heuristic uses a simple(More)
We propose in this paper a learning query expansion approach using association rules. The query expansion problem is modeled as a supervised classification problem which aims at identifying the appropriate set of association rules to expand a given query. A training data set is generated using a GA based exploring algorithm of the association rules space.(More)
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