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" Multiobjective optimization (also called multicriteria optimization, multiperformance or vector optimization) can be defined as the problem of finding [13]: a vector of decision variables which satisfies constraints and optimizes a vector function whose... "
Evolutionary Algorithms for Solving Multi-Objective Problems - Page 5
by Carlos Coello Coello, Gary B. Lamont, David A. van Veldhuizen - 2007 - 800 pages
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Hybrid Architectures for Intelligent Systems

Abraham Kandel, Gideon Langholz - Computers - 1992 - 450 pages
...last decade [10]. A multi-criteria mathematical programming problem can be stated as that of finding a vector of decision variables which satisfies constraints...values of all the objective functions acceptable to the designer. Mathematically, the problem can be represented as: maximize [/,(*), /a(.Y), ...Jk(X)] subjectto:...
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SOC Design Methodologies: IFIP TC10 / WG10.5 Eleventh International ...

Michel Robert, Bruno Rouzeyre, Christian Piguet, Marie-Lise Flottes - Technology & Engineering - 2002 - 500 pages
...the problem of finding [9]: a vector of decision variables which satisfies constraints and optimises a vector function whose elements represent the objective...usually in conflict with each other. Hence, the term "optimise " means finding a solution which would give values for all the objective functions such as...
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Multiobjective Evolutionary Algorithms and Applications

Kay Chen Tan, Eik Fun Khor, Tong Heng Lee - Computers - 2005 - 314 pages
...optimization" (Coello Coello 1998). Osyczka (1985) defines multiobjective optimization as a problem of finding: A vector of decision variables which satisfies constraints...values of all the objective functions acceptable to the designer. Consider a minimization problem; it tends to find a set ofP for M'mF(P), PeR", (1.1) PelZi...
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KI 2005: Advances in Artificial Intelligence: 28th Annual German Conference ...

Ulrich Furbach - Computers - 2005 - 420 pages
...electric distribution system. Multiobjective optimization can be defined as the problem of finding [10]: A vector of decision variables, which satisfies constraints...usually in conflict with each other. Hence, the term "optimizes" means finding such a solution, which would give the values of all the objective functions...
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Parallel Metaheuristics: A New Class of Algorithms

Enrique Alba - Technology & Engineering - 2005 - 574 pages
...optimization problems (MOPs) have therefore a number of objective functions to be minimized or maximized which form a mathematical description of performance criteria which are usually in conflict with each other. More formally, solving a MOP means finding a vector x* = [x\ , x%, • - - , x*n\ which satisfies the...
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