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Pregled bibliografske jedinice broj: 537238

Časopis

Autori: Picek, Stjepan; Golub, Marin; Jakobović, Domagoj
Naslov: Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation
Izvornik: Lecture Notes in Computer Science (0302-9743) 6840 (2011); 223-230
Vrsta rada: članak
Ključne riječi: genetic algorithms ; crossover operators ; binary encoding
Sažetak:
Genetic algorithms (GAs) generate solutions to optimization problems using techniques inspired by natural evolution, like crossover, selection, and mutation. In that process, crossover operator plays an important role as an analogue to reproduction in biological sense. During the last decades, a number of di fferent crossover operators have been successfully designed. However, systematic comparison of those operators is difficult to fi nd. In this paper a comparison is given of 10 crossover operators that are used in genetic algorithms with binary representation. To achieve this, experiments are conducted on a set of 15 optimization problems. A thourough statistical analysis is performed on the results of those experiments. The results show signi cant statistical di erences between operators and an overall good performance of uniform, single- point and reduced surrogate crossover. Additionally, our experiments have shown that orthogonal crossover operators perform much poorer on the given problem set.
Projekt / tema: 036-0362980-1921
Izvorni jezik: ENG
Rad je citiran u
bazama podataka:
Scopus
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Puni text rada: 537238.icic.pdf (tekst priložen 11. Stu. 2011. u 11:16 sati)
URL Internet adrese: http://www.springer.com/computer/ai/book/978-3-642-24552-7
URL cjelovitog teksta:
Google Scholar: Evaluation of Crossover Operator Performance in Genetic Algorithms with Binary Representation
Upisao u CROSBI: yeti@fer.hr (yeti@fer.hr), 11. Stu. 2011. u 11:16 sati



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