Results 11 to 20 of about 853,756 (250)
Generalized Convexity in Multiobjective Programming [PDF]
Journal of Mathematical Analysis and Applications, 1999 Consider a multicriteria or vector optimization problem of the form: ``Minimize \(f(x)= (f_1(x),\dots\), \(f_n(x))\) subject to \(x\in S\) and \(g(x)\leq 0\).'' The authors discuss the role played by the concepts of KT-invexity and KT-pseudoinvexity in connection with the establishment of Kuhn-Tucker optimality conditions for weakly efficient points.
Osuna Gómez, Rafaela +2 more
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On stability in multiobjective programming — A stochastic approach [PDF]
Mathematical Programming, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vogel, Silvia
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Efficiency and duality in nonsmooth multiobjective fractional programming involving η-pseudolinear functions [PDF]
Yugoslav Journal of Operations Research, 2012 In this paper, we shall establish necessary and sufficient optimality conditions for a feasible solution to be efficient for a nonsmooth multiobjective fractional programming problem involving η-pseudolinear functions.
Mishra S.K., Upadhyay B.B.
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Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process
IEEE Access, 2020 One of the main goals in flux-cored arc welding processes is the optimization of bead geometry, in which multiple geometric characteristics of the welding bead are important; therefore, multiobjective optimization programming is often applied.
Alexandre F. Torres +5 more
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Optimality conditions and duality in multiobjective programming with invexity [PDF]
Yugoslav Journal of Operations Research, 2008 (', ρ)-invexity has recently been introduced with the intent of generalizing invex functions in mathematical programming. Using such conditions we obtain new sufficiency results for optimality in multiobjective programming and extend some classical ...
Ferrara Massimiliano +1 more
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A method for generating a well-distributed Pareto set in nonlinear multiobjective optimization [PDF]
, 2009 A method is presented for generating a well-distributed Pareto set in nonlinear multiobjective optimization. The approach shares conceptual similarity with the Physical Programming-based method, the Normal-Boundary Intersection and the Normal ...
Utyuzhnikov, S.V.; id_orcid +7 more
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On the Study of Some Fuzzy Stochastic Linear Multiobjective Programming Problems [PDF]
The Egyptian Statistical Journal, 1995 The different possible formulations of what could be called a fuzzy chance-constrained linear multiobjective programming problem are presented and their equivalent linear deterministic forms are deduced using the chance-constraints approach of stochastic
Nadia Girgis, Maha El-Ashram
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Advancing equitability in multiobjective programming
Computers & Mathematics with Applications, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Davaatseren Baatar, Margaret M. Wiecek
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Journal of Applied Mathematics, 2011 Convex multiobjective programming problems and multiplicative programming problems have important applications in areas such as finance, economics, bond portfolio optimization, engineering, and other fields. This paper presents a quite easy algorithm for
Le Quang Thuy +2 more
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Discrete Dynamics in Nature and Society, 2021 The collaborative evaluation of enterprise innovation populations is a hot issue. The Lotka–Volterra model is a mature method used to evaluate the interaction mechanism of populations and is widely used in innovation ecology research studies.
Sheng-Yuan Wang +3 more
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