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Bibliographic record number: 709076

Journal

Authors: Picek, Stjepan; Jakobović, Domagoj
Title: From fitness landscape to crossover operator choice
( From fitness landscape to crossover operator choice )
Source: Proceedings of the 2014 conference on Genetic and evolutionary computation (GECCO 2014)
Meeting: 2014 conference on Genetic and evolutionary computation (GECCO 2014)
Location and date: Vancouver, Kanada, 12-15.07.2014.
Keywords: Heuristic Methods ; Fitness Landscape ; Crossover Operator ; Genetic Programming ; Automatic Classification
( Heuristic Methods ; Fitness Landscape ; Crossover Operator ; Genetic Programming ; Automatic Classification )
Abstract:
Genetic algorithms are applied to numerous problems that demonstrate different properties. To efficiently solve these problems, during the years a significant number of variation operators have been and still are created. It is a problem by itself how to correctly choose between those operators, i.e. how to find the most suitable operator (or a set) for a given problem. In this paper we investigate the choice of the suitable crossover operator on the basis of fitness landscape. The fitness landscape can be described with a number of properties, so a thorough analysis needs to be done to find the most useful ones. To achieve that, we experiment with 24 noise-free problems and floating point encoding. The results indicate it is possible to either select a suitable operator or at least to reduce the number of adequate operators with fitness landscape properties.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Original language: eng
Category: Znanstveni
Research fields:
Computer science
URL: http://dl.acm.org/citation.cfm?id=2576768.2598320&coll=DL&dl=GUIDE&CFID=397090544&CFTOKEN=56842525
Contrib. to CROSBI by: Domagoj Jakobović (domagoj.jakobovic@fer.hr), 3. Kol. 2014. u 12:05 sati



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