A Boolean Penalty Method for Zero-One Nonlinear Programming

被引:0
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作者
David Mauricio
Nelson Maculan
机构
[1] State University of Norte Fluminense (UENF),Laboratory of Science and Engineering – CCT
[2] University of Rio de Janeiro,Systems Engineering and Computer Science, COPPE – Federal
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关键词
0–1 nonlinear programming; Combinatorial optimization; Discrete penalty;
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摘要
We introduce a discrete penalty called Boolean Penalty to 0–1 constrained nonlinear programming (PNLC-01). The main importance of this Penalty function are its properties which allow us to develop algorithms for the PNLC-01 problem. Optimality conditions, and numerical results are presented.
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页码:343 / 354
页数:11
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