A New Local Search Algorithm for Binary Optimization
نویسندگان
چکیده
W develop a new local search algorithm for binary optimization problems, whose complexity and performance are explicitly controlled by a parameter Q, measuring the depth of the local search neighborhood. We show that the algorithm is pseudo-polynomial for general cost vector c, and achieves a w2/42w−15 approximation guarantee for set packing problems with exactly w ones in each column of the constraint matrix A, when using Q = w2. Most importantly, we find that the method has practical promise on large, randomly generated instances of both set covering and set packing problems, as it delivers performance that is competitive with leading general-purpose optimization software (CPLEX 11.2).
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عنوان ژورنال:
- INFORMS Journal on Computing
دوره 25 شماره
صفحات -
تاریخ انتشار 2013