Results 111 to 120 of about 122,352 (134)
Some of the next articles are maybe not open access.
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
+5 more sources
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
openaire +3 more sources
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
openaire +1 more source
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
openaire +1 more source
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.
openaire +2 more sources
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.
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
Splitting for Multi-objective Optimization
Methodology and Computing in Applied Probability, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qibin Duan, Dirk P. Kroese
openaire +2 more sources
2011
The development of high-performance optimizing compilers is an inherently hard problem for many reasons. Besides the complex task of generating efficient compiler heuristics, optimizations that are performed in a sequence may exhibit non-trivial interactions with other optimizations as well as with the underlying hardware.
Paul Lokuciejewski, Peter Marwedel
openaire +1 more source
The development of high-performance optimizing compilers is an inherently hard problem for many reasons. Besides the complex task of generating efficient compiler heuristics, optimizations that are performed in a sequence may exhibit non-trivial interactions with other optimizations as well as with the underlying hardware.
Paul Lokuciejewski, Peter Marwedel
openaire +1 more source
2003
Life is a compromise, often involving more than one objective. Even Noah at the time of the great flood faced the same dilemma. Noah’s problem was to build an ark to accommodate a maximum number of animals and to store the maximum amount of food on the ark.
openaire +1 more source
Life is a compromise, often involving more than one objective. Even Noah at the time of the great flood faced the same dilemma. Noah’s problem was to build an ark to accommodate a maximum number of animals and to store the maximum amount of food on the ark.
openaire +1 more source