Generalised convexity and duality in multiple objective programming [PDF]
Bulletin of the Australian Mathematical Society, 1989 By considering the concept of weak minima, different scalar duality results are extended to multiple objective programming problems. A number of weak, strong and converse duality theorems are given under a variety of generalised convexity conditions.
Weir, T., Mond, B.
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Multiple Objective Linear Programming in Supporting Forest Management [PDF]
, 1999 . This paper gives a brief introduction into multiple objective linear programming and discusses its possibilities in the area of forest management. We overview basic concepts, formulations, and principles of solving multiple objective linear programming
Pekka Korhonen
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Two simple ways to find an efficient solution for a multiple objective linear programming problem
Buletinul Ştiinţific al Academiei Trupelor de Uscat, 2018 A number of methods and techniques for determining “effective” solutions for multiple objective linear programming problems (MPP) have been developed. In this study, we will present two simple methods for determining an efficient solution for a MPP that ...
Căruțașu Vasile
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Evolutionary Game Theory in Multi-Objective Optimization Problem [PDF]
International Journal of Computational Intelligence Systems, 2010 Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the ...
Maozhu Jin, Xia Lei, Jian Du
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An Interactive Fuzzy Satisficing Method for Fuzzy Random Multiobjective 0-1 Programming Problems through Probability Maximization Using Possibility [PDF]
, 2009 In this paper, we focus on multiobjective 0-1 programming problems under the situation where stochastic uncertainty and vagueness exist at the same time.
Matsui, Takeshi +3 more
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Multiple Objective Programming Involving Differentiable (Hp, r)-invex Functions
Cubo, 2011 In this paper, we introduce new types of generalized convex functions which include locally (Hp, r)-pre-invex functions and (Hp, r)-invex functions. Relationship between these two new classes of functions are established.
Xiaoling Liu +4 more
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A Scoping Review of Recent Fractional Programming Approaches and Ideas for Future Research
MathematicsThis paper aims to present a review of recent scientific ideas and developments in the field of fractional programming. The survey is designed to be prospective, to enable retrieving conclusions regarding current trends in fractional programming, and ...
Simona Dzitac, Bogdana Stanojević
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Multi-objective optimization techniques in electricity generation planning [PDF]
, 2011 The objective of this research is to develop a framework of multi-objective optimization (MOO) models that are better capable of providing decision support on future long-term electricity generation planning (EGP), in the context of insufficient ...
Tuyiragize, Richard, Richard Tuyiragize
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Decision-Maker's Preferences for Modeling Multiple Objective Stochastic Linear Programming Problems
Operations Research and Decisions, 2019 A method has been suggested which solves a multiobjective stochastic linear programming problem with normal multivariate distributions in accordance with the minimum-risk criterion.
Fatima Bellahcene
doaj
Knapsack Balancing via Multiobjectivization
Applied SciencesIn this paper, we address the aspect of knapsack balancing in the classic knapsack problem. Recognizing that excessive dispersion in the objective function or constraint coefficients of the optimal solution can be undesirable, we propose, when ...
Ignacy Kaliszewski, Janusz Miroforidis
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