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Multiobjective Geometric Programming

2009
As shownin Chapter 6, problems leading to geometric programming models arise very often, not only in engineering design but also in economics and management science.Referring to the introductory discussion in Chapter 7, it seems obvious to include geometric programming problems with several objectives in our consideration.
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On multiobjective fractional programs

Applied Mathematics-A Journal of Chinese Universities, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Continuous Multiobjective Programming

2016
We present our view of the state of the art in continuous multiobjective programming. After an introduction we formulate the multiobjective program (MOP) and define the most important solution concepts in Sect. 18.2. In Sect. 18.3 we summarize properties of efficient and nondominated sets. Optimality conditions are reviewed in Sect. 18.4. The main part
Wiecek, Margaret M.   +2 more
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Some Optimality Conditions in Multiobjective Programming

1997
Abstract: One of the aim of this paper is to introduce new classes of vector generalized concave functions and to point out their role in investigating local and global efficiency and in establishing sufficient optimality conditions for a vector optimization problem.
CAMBINI, ALBERTO   +2 more
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Multiobjective Linear Programming

2009
As in single-objective mathematical programming, the most developed part of multiobjective optimization—from the theoretical as well as the applications point of view—is multiobjective linear programming. In 1951, Gale, Kuhn, and Tucker [7] considered a pair of general matrix linear programming problems, i.e., a linear programming problem with a matrix–
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Multiobjective Programming

2010
H. A. Eiselt, Carl-Louis Sandblom
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Multiobjective linear programming

Decision Support Systems, 1991
Moshe Dror   +2 more
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Solution approaches for the multiobjective stochastic programming

European Journal of Operational Research, 2012
BEN ABDELAZIZ Fouad
exaly  

Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems

European Journal of Operational Research, 2004
Rafael Caballero   +2 more
exaly  

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