Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

On the mutual information as a fitness landscape measure (CROSBI ID 654433)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Čorić, Rebeka ; Picek, Stjepan ; Jakobović, Domagoj ; Coello Coello, Carlos A. On the mutual information as a fitness landscape measure // GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York (NY): AMC, 2017. str. 165-166

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

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

165-166.

2017.

nije evidentirano

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

Povezanost rada

Računarstvo