Nonlinear and unconstrained multiple‐objective optimization: Algorithm, computation, and application

Asim Roy; Jyrki Wallenius

doi:10.1002/1520-6750(199108)38:4

Nonlinear and unconstrained multiple‐objective optimization: Algorithm, computation, and application

Asim Roy, Jyrki Wallenius

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

14 Scopus citations

Abstract

An extension of Zionts‐Wallenius procedure, providing a unified approach to solving several classes of multiple‐objective optimization problems, is presented. The classes of problems addressed are linear programming, nonlinear programming, and unconstrained optimization. The method and its extensions are described, implemented for computer, subjected to extensive computational testing, and applied to a quality‐control problem.

Original language	English (US)
Pages (from-to)	623-635
Number of pages	13
Journal	Naval Research Logistics (NRL)
Volume	38
Issue number	4
DOIs	https://doi.org/10.1002/1520-6750(199108)38:4
State	Published - Aug 1991

ASJC Scopus subject areas

Modeling and Simulation
Ocean Engineering
Management Science and Operations Research

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10.1002/1520-6750(199108)38:4

Cite this

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abstract = "An extension of Zionts‐Wallenius procedure, providing a unified approach to solving several classes of multiple‐objective optimization problems, is presented. The classes of problems addressed are linear programming, nonlinear programming, and unconstrained optimization. The method and its extensions are described, implemented for computer, subjected to extensive computational testing, and applied to a quality‐control problem.",

author = "Asim Roy and Jyrki Wallenius",

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AB - An extension of Zionts‐Wallenius procedure, providing a unified approach to solving several classes of multiple‐objective optimization problems, is presented. The classes of problems addressed are linear programming, nonlinear programming, and unconstrained optimization. The method and its extensions are described, implemented for computer, subjected to extensive computational testing, and applied to a quality‐control problem.

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Nonlinear and unconstrained multiple‐objective optimization: Algorithm, computation, and application

Abstract

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