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Random Multiple Objective Decision Making

Jiuping Xu () and Liming Yao ()
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Jiuping Xu: Sichuan University
Liming Yao: Sichuan University

Chapter Chapter 2 in Random-Like Multiple Objective Decision Making, 2011, pp 35-99 from Springer

Abstract: Abstract Mathematical programming with multiple objective functions (also called vector programming) is a recent development in mathematical programming, and emerged from an attempt to tackle the problems raised by the present development of science, engineering, industry, economics, etc. Due to the complexity of these problems, several objectives had to be incorporated in the optimization process. Basically, the problem consists of optimizing several objectives functions (some of which must be maximized, some minimized) provided the variables satisfy the linear and nonlinear constraints.

Keywords: Pareto Optimal Solution; Distribution Center; Chance Constraint; Multiobjective Programming; Exponential Random Variable (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-642-18000-2_2

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DOI: 10.1007/978-3-642-18000-2_2

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