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Constraint Approach to Multi-Objective Optimization
"... Abstract. In many practical situations, we would like to maximize (or minimize) several different criteria, and it is not clear how much weight to assign to each of these criteria. Such situations are ubiquitous and thus, it is important to be able to solve the corresponding multi-objective opti-miz ..."
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Abstract. In many practical situations, we would like to maximize (or minimize) several different criteria, and it is not clear how much weight to assign to each of these criteria. Such situations are ubiquitous and thus, it is important to be able to solve the corresponding multi-objective opti-mization
Evolutionary Multi-Objective Optimization Algorithms
"... Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-objective optimization problems by evolutionary computation, has become a hot topic in evolutionary computation community. After summarizing the EMO algorithms before 2003 briefly, the recent advances i ..."
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Abstract: Evolutionary multi-objective optimization (EMO), whose main task is to deal with multi-objective optimization problems by evolutionary computation, has become a hot topic in evolutionary computation community. After summarizing the EMO algorithms before 2003 briefly, the recent advances
Multi-Objective Optimization Techniques
"... INTRODUCTION Natural systems have evolved over time to achieve a high degree of suitability to task. In the design of man made systems a similar goal is sought. That is, to achieve the best possible solution to a decision making or design problem given the constraints of practicality. Such design p ..."
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beams the goal is to obtain the least cost and the least weight design. The minimum weight design will not necessarily give the minimum cost design because of the different cost-toweight ratios of the materials used. Multi-objective (MO) optimization provides a framework for solving decisionmaking
Multi-Objective Optimization
, 2008
"... This work is a product of the Collaborative Research Center 531, “Computational Intelligence, ” at the Technische Universität Dortmund and was printed with financial ..."
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This work is a product of the Collaborative Research Center 531, “Computational Intelligence, ” at the Technische Universität Dortmund and was printed with financial
Multi-Objective Optimization
, 2010
"... HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte p ..."
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HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte
Set-based Multi-objective Optimization, . . .
, 2010
"... Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according toagivensetofobjectivefunctions. Thetaskhasbeenmade explicit in a recent paper by Zitzler et al. [13]. We take an order-theoretic view on this task and examine how the use of indicator ..."
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Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according toagivensetofobjectivefunctions. Thetaskhasbeenmade explicit in a recent paper by Zitzler et al. [13]. We take an order-theoretic view on this task and examine how the use
Database enrichment for multi-objective optimization
"... The problem of optimization of complex phenom-ena is studied by using response surface approxi-mation. Design of experiments are elaborated for database generation of samples, but it can be im-proved to obtain more adapted response surfaces through a sequential enrichment based on bootstrap techniqu ..."
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techniques. A multi-objective optimization is per-formed on a two phase flow configuration for the optimization of injection parameters in a Low Pre-mixed Prevaporized (LPP) injection system for a combustor chamber.
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