A hybrid gene expression programming algorithm based on orthogonal design
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- @Article{journals/ijcisys/0009M16,
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title = "A hybrid gene expression programming algorithm based
on orthogonal design",
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author = "Jie Yang and Jun Ma",
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journal = "Int. J. Computational Intelligence Systems",
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year = "2016",
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volume = "9",
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number = "4",
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pages = "778--787",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, evolutionary computation,
orthogonal design, evolutionary stable strategy",
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ISSN = "1875-6883",
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bibdate = "2017-05-18",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/ijcisys/ijcisys9.html#0009M16",
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URL = "http://www.atlantis-press.com/php/download_paper.php?id=25868727",
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DOI = "doi:10.1080/18756891.2016.1204124",
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abstract = "The last decade has witnessed a great interest on the
application of evolutionary algorithms, such as genetic
algorithm (GA), particle swarm optimisation (PSO) and
gene expression programming (GEP), for optimisation
problems. This paper presents a hybrid algorithm by
combining the GEP algorithm and the orthogonal design
method. A multiple-parent crossover operator is
introduced for the chromosome reproduction using the
orthogonal design method. In addition, an evolutionary
stable strategy is also employed to maintain the
population diversity during the evolution. The
efficiency of the proposed algorithm is evaluated using
three benchmark problems. The results demonstrate that
the proposed hybrid algorithm has a better
generalisation ability compared to conventional
algorithms.",
- }
Genetic Programming entries for
Jie Yang
Jun Ma
Citations