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Sequential Approximate Multi Objective Optimization with Limited Data Samples
Tomoki Takao +5 more
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Performance evaluation and multi-objective optimization of EDM parameters for Ti6Al4V using different tool electrodes. [PDF]
Sci RepJagdale M +6 more
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Network traffic classification through high-order L-moments and multi-objective optimization
Jesús Galeano-Brajones +4 more
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2016
Introduction (G P Rangaiah) Multi-Objective Optimization Applications in Chemical Engineering (Masuduzzaman & G P Rangaiah) Techniques: Multi-Objective Evolutionary Algorithms: A Review of the State of the Art and Some of Their Applications in Chemical Engineering (A L Jaimes & C A Coello Coello) The Jumping Gene Adaptations of Multi-Objective Genetic ...
António Daniel Silva +2 more
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Introduction (G P Rangaiah) Multi-Objective Optimization Applications in Chemical Engineering (Masuduzzaman & G P Rangaiah) Techniques: Multi-Objective Evolutionary Algorithms: A Review of the State of the Art and Some of Their Applications in Chemical Engineering (A L Jaimes & C A Coello Coello) The Jumping Gene Adaptations of Multi-Objective Genetic ...
António Daniel Silva +2 more
+5 more sources
Progressive Multi-Objective Optimization
International Journal of Information Technology & Decision Making, 2014This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference ...
Kenneth Sörensen, Johan Springael
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2018
In many real-world applications, we face the problem that several objectives have to be optimized concurrently. Such problems are termed as multi-objective optimization problems (MOPs) in literature. As one general example, consider the design of a product where two important objectives are commonly to minimize the cost of the product in order to ...
Jian-Qiao Sun +3 more
+4 more sources
In many real-world applications, we face the problem that several objectives have to be optimized concurrently. Such problems are termed as multi-objective optimization problems (MOPs) in literature. As one general example, consider the design of a product where two important objectives are commonly to minimize the cost of the product in order to ...
Jian-Qiao Sun +3 more
+4 more sources
2020
In this chapter, we introduce multi-objective optimization, and recall some of the most relevant research articles that appeared in the literature related to this topic. The presented state of the art does not have the purpose of being exhaustive; it aims to drive the reader to the main problems and the approaches to solve them.
Massimiliano Caramia, Paolo Dell’Olmo
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In this chapter, we introduce multi-objective optimization, and recall some of the most relevant research articles that appeared in the literature related to this topic. The presented state of the art does not have the purpose of being exhaustive; it aims to drive the reader to the main problems and the approaches to solve them.
Massimiliano Caramia, Paolo Dell’Olmo
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2014
In previous chapters, only single objective tasks were addressed. However, multiple goals are common in real-world domains. For instance, a company typically desires to increase sales while reducing production costs. Within its marketing department, the goal might include maximizing target audiences while minimizing the marketing budget.
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In previous chapters, only single objective tasks were addressed. However, multiple goals are common in real-world domains. For instance, a company typically desires to increase sales while reducing production costs. Within its marketing department, the goal might include maximizing target audiences while minimizing the marketing budget.
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2013
Multi-objective optimization is an integral part of optimization activities and has a tremendous practical importance, since almost all real-world optimization problems are ideally suited to be modeled using multiple conflicting objectives. The classical means of solving such problems were primarily focused on scalarizing multiple objectives into a ...
Kalyanmoy Deb, Kalyanmoy Deb
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Multi-objective optimization is an integral part of optimization activities and has a tremendous practical importance, since almost all real-world optimization problems are ideally suited to be modeled using multiple conflicting objectives. The classical means of solving such problems were primarily focused on scalarizing multiple objectives into a ...
Kalyanmoy Deb, Kalyanmoy Deb
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