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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
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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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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.
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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.
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Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration
2019Heuristic optimizers are an important tool in academia and industry, and their performance-optimizing configuration requires a significant amount of expertise. As the proper configuration of algorithms is a crucial aspect in the engineering of heuristic algorithms, a significant research effort has been dedicated over the last years towards moving this
Bezerra, Leonardo C.T. +2 more
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Multi-objective Optimization Problem
2017This chapter discusses general aspects regarding multi-objective optimization. For this purpose, the state of the art is presented, considering basic concepts and definitions, mathematical formulation, optimality conditions, metrics for convergence and diversity, and methodologies to solve this kind of problem are discussed.
Fran Sérgio Lobato, Valder Steffen
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