Results 191 to 200 of about 853,756 (250)

Achieving sustainable goals in agroecosystems through the optimization of agricultural resources integrating the water-nitrogen-carbon nexus. [PDF]

iScience
Li M, Zhang P, Yang A, Wang X, Sha Y, Fu Q.   +5 more
europepmc   +1 more source

MultiObjective Programming and Goal Programming

, 2009
This book gives the reader an insight into the state of the art in the field of multiobjective (linear, nonlinear and combinatorial) programming, goal programming and multiobjective metaheuristics. The 26 papers describe all relevant trends in this fields of research .
Barichard, Vincent, Ehrgott, Matthias, Gandibleux, Xavier, T'kindt, Vincent   +3 more
core   +5 more sources

4.5. Multiobjective programming

Energy, 1990
Abstract The work presented in this paper focuses on the introduction of multiobjective programming methods into a large-scale energy systems planning model. We first review several multiobjective techniques, ranging from simple methods aiming at exploring the set of efficient solutions, to complex interactive algorithms providing best compromise ...
J. Psarras, P. Capros, J.-E. Samouilidis
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On Sensitivity in Linear Multiobjective Programming

Journal of Optimization Theory and Applications, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thuan, L. V., Luc, D. T.
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Approximation Methods in Multiobjective Programming

Journal of Optimization Theory and Applications, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ruzika, S., Wiecek, M. M.
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A fuzzy multiobjective linear programming

Fuzzy Sets and Systems, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hsiao-Fan Wang, Miao-Ling Wang
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Multiobjective programming with new invexities

Optimization Letters, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria Viorica Stefanescu, Massimiliano Ferrara, Anton Stefanescu   +2 more
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Lexicographic quasiconcave multiobjective programming

Zeitschrift für Operations Research, 1977
Letfi:A → R ben real-valued objective functions on a convex setA ⊂-Km,K:=R orC, n, m∈N. Letg: A → Rn be defined by\(g(x): = (g_1 (x),...,g_n (x)): = (f_{i_1 (x)} (x),...,f_{i_n (x)} (x))\), where for eachx∈A, (i1(x), ..., in(x)) is a permutation of (1, ...,n) such that\((f_{i_1 (x)} (x) \leqslant ... \leqslant f_{i_n (x)} (x))\). In this paper we treat
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Generalized Concavity in Multiobjective Programming

1998
In this survey we present the fundamental ideas and results related to the role played by generalized concavity in stating sufficient optimality conditions, in studying local and global efficiency, in finding relationships between local efficiency and efficiency along feasible directions, and in establishing the connectedness of the efficient point ...
CAMBINI, ALBERTO, MARTEIN LAURA
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