A Boolean Penalty Method for Zero-One Nonlinear Programming

David Mauricio; Nelson Maculan

doi:10.1023/A:1008329405026

A Boolean Penalty Method for Zero-One Nonlinear Programming

David Mauricio, Nelson Maculan

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	343-354
Number of pages	12
Journal	Journal of Global Optimization
Volume	16
Issue number	4
DOIs	https://doi.org/10.1023/A:1008329405026
State	Published - Apr 2000

Bibliographical note

Funding Information:
The authors wish to thank José Koiller for his helpful advice and suggestions. This work was partially supported by CNPq and FAPERJ.

Keywords

0-1 nonlinear programming
Combinatorial optimization
Discrete penalty

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10.1023/A:1008329405026

Cite this

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title = "A Boolean Penalty Method for Zero-One Nonlinear Programming",

abstract = "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.",

keywords = "0-1 nonlinear programming, Combinatorial optimization, Discrete penalty",

author = "David Mauricio and Nelson Maculan",

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AU - Mauricio, David

AU - Maculan, Nelson

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PY - 2000/4

Y1 - 2000/4

N2 - 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.

AB - 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.

KW - 0-1 nonlinear programming

KW - Combinatorial optimization

KW - Discrete penalty

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DO - 10.1023/A:1008329405026

M3 - Artículo

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SN - 0925-5001

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ER -

A Boolean Penalty Method for Zero-One Nonlinear Programming

Abstract

Bibliographical note

Keywords

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