Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Harada:2013:ECAL,

• author = "Tomohiro Harada and Keiki Takadama",
• title = "Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation",
• booktitle = "Advances in Artificial Life, ECAL 2013",
• year = "2013",
• editor = "Pietro Lio and Orazio Miglino and Giuseppe Nicosia and Stefano Nolfi and Mario Pavone",
• series = "Complex Adaptive Systems",
• pages = "713--720",
• address = "Taormina, Italy",
• month = sep # " 2-6",
• publisher = "MIT Press",
• keywords = "genetic algorithms, genetic programming, TAGP",
• isbn13 = "978-0-262-31709-2",
• DOI = "doi:10.7551/978-0-262-31709-2-ch102",
• size = "8 pages",
• abstract = "This paper investigates the evolution ability of Tierra-based Asynchronous Genetic Programming (TAGP) as GP using an asynchronous evaluation. We compare TAGP with two simple GP methods, steady-state GP and GP using (mu + lambda)-selection as GP using a synchronous evaluation. Three GP methods are compared in experiment to minimise the size of an actual assembly language program in several computational problems, two arithmetic and two Boolean problems. The intensive comparisons have revealed the following implications: (1) TAGP has higher evolution ability than GP using synchronous evaluation, i.e., TAGP can evolve smaller size programs which cannot be evolved by GPs using synchronous evaluation; and (2) the diversity of the programs evolved by TAGP can derive a high evolution ability in comparison with GP using synchronous evaluation.",
• notes = "Not tag-GP. ECAL-2013",

}

Genetic Programming entries for Tomohiro Harada Keiki Takadama

Citations