KKT transformation approach for multi-objective multi-level linear programming problems

The earlier Karush–Kuhn–Tucker (KKT) transformation method has been applied to multi-level decentralized programming problems (ML(D)PPs) when the decision variable set was divided into subsets where each decision maker (DM) of the system controlled only a particular subset but had no control over an...

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Vydáno v:	European journal of operational research Ročník 143; číslo 1; s. 19 - 31
Hlavní autoři:	Sinha, Surabhi, Sinha, S.B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 16.11.2002 Elsevier
Edice:	European Journal of Operational Research
Témata:	Karush–Kuhn–Tucker's optimality conditions Lagrange function Local optimal solution Multi-level linear programming Multiple objective programming Local optimal solution Multi-level linear programming Lagrange function Multiple objective programming Karush–Kuhn–Tucker's optimality conditions
ISSN:	0377-2217, 1872-6860
On-line přístup:	Získat plný text
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