Results 181 to 190 of about 118,355 (211)
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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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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
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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
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Evolutionary multi-objective optimization
European Journal of Operational Research, 2007Carlos A. Coello Coello +2 more
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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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Evolutionary Large-Scale Multi-Objective Optimization: A Survey
ACM Computing Surveys, 2022Ye Tian, Langchun Si, Xingyi Zhang
exaly
A modified particle swarm optimization for multimodal multi-objective optimization
Engineering Applications of Artificial Intelligence, 2020Xuwei Zhang, Liangping Tu
exaly