A hybrid gene expression programming algorithm based on orthogonal design

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@Article{journals/ijcisys/0009M16,

• title = "A hybrid gene expression programming algorithm based on orthogonal design",
• author = "Jie Yang and Jun Ma",
• journal = "Int. J. Computational Intelligence Systems",
• year = "2016",
• volume = "9",
• number = "4",
• pages = "778--787",
• keywords = "genetic algorithms, genetic programming, gene expression programming, evolutionary computation, orthogonal design, evolutionary stable strategy",
• ISSN = "1875-6883",
• bibdate = "2017-05-18",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/ijcisys/ijcisys9.html#0009M16",
• URL = "http://www.atlantis-press.com/php/download_paper.php?id=25868727",
• DOI = "doi:10.1080/18756891.2016.1204124",
• 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