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- W2170669020 abstract "In this paper we introduce a new method based on Russian Doll Search (RDS) for solving optimization problems expressed as Valued Constraint Satisfaction Problems (VCSPs). The RDS method solves problems of size n (where n is the number of variables) by replacing one search by n successive searches on nested subproblems using the results of each search to produce a better lower bound. The main idea of our method is to introduce the variables through the successive searches not one by one but by sets of k variables. We present two variants of our method: the first one where the number k is fixed, noted k/sub f/RDS; the second one, k/sub u/RDS, where k can be variable. Finally, we show that our method improves RDS on daily management of an earth observation satellite." @default.
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- W2170669020 date "2002-11-13" @default.
- W2170669020 modified "2023-09-24" @default.
- W2170669020 title "Successive search method for valued constraint satisfaction and optimization problems" @default.
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- W2170669020 doi "https://doi.org/10.1109/ictai.2001.974482" @default.
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