On the mutual information as a fitness landscape measure (CROSBI ID 654433)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Čorić, Rebeka ; Picek, Stjepan ; Jakobović, Domagoj ; Coello Coello, Carlos A.
engleski
On the mutual information as a fitness landscape measure
Fitness landscape analysis plays an important role in both theoretical and practical perspectives when using evolutionarya lgorithms. In this paper, we develop a new measure based on th emutual information paradigm and we show how it can help to deduce further information about the fitness landscape. In order to validate it as a valuable source of information when conducting fitness landscape analysis, we investigate its properties on a well-known benchmark suite. Moreover, we investigate the usefulness of the obtained information when choosing crossover operators. Finally, we show that when using our new measure, a number of classifiers can be constructed that offer an improved accuracy.
Fitness landscape, Single-objective, Mutual Information, Performance comparison
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Podaci o prilogu
165-166.
2017.
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objavljeno
978-1-4503-4939-0
Podaci o matičnoj publikaciji
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion
New York (NY): AMC
Podaci o skupu
GECCO '17 - Genetic and Evolutionary Computation Conference
poster
15.07.2017-19.07.2017
Berlin, Njemačka