A Comparison of Several Linear Genetic Programming Techniques

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@Article{oltean:2004:CS,

• author = "Mihai Oltean and Crina Grosan",
• title = "A Comparison of Several Linear Genetic Programming Techniques",
• journal = "Complex Systems",
• year = "2004",
• volume = "14",
• number = "4",
• pages = "285--313",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, GEP, MEP",
• ISSN = "0891-2513",
• URL = "http://www.cs.ubbcluj.ro/~cgrosan/030409_edited.pdf",
• URL = "http://www.complex-systems.com/pdf/14-4-1.pdf",
• URL = "http://www.complex-systems.com/abstracts/v14_i04_a01.html",
• DOI = "doi:10.25088/ComplexSystems.14.4.285",
• size = "29 pages",
• abstract = "A comparison between four Genetic Programming techniques is presented in this paper. The compared methods are Multi-Expression Programming, Gene Expression Programming, Grammatical Evolution, and Linear Genetic Programming. The comparison includes all aspects of the considered evolutionary algorithms: individual representation, fitness assignment, genetic operators, and evolutionary scheme. Several numerical experiments using five benchmarking problems are carried out. Two test problems are taken from PROBEN1 and contain real-world data. The results reveal that Multi-Expression Programming has the best overall behavior for the considered test problems, closely followed by Linear Genetic Programming.",

}

Genetic Programming entries for Mihai Oltean Crina Grosan

Citations