An Algorithm of Multivariant Evolutionary Synthesis of Nonlinear Models with Real-Valued Chromosomes

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{Monakhov:2018:DSiA,

• author = "Oleg Monakhov and Emilia Monakhova",
• title = "An Algorithm of Multivariant Evolutionary Synthesis of Nonlinear Models with Real-Valued Chromosomes",
• booktitle = "Decision Science in Action",
• publisher = "Springer",
• year = "2018",
• editor = "Kusum Deep and Madhu Jain and Said Salhi",
• series = "Asset Analytics",
• chapter = "4",
• pages = "41--49",
• keywords = "genetic algorithms, genetic programming, Cartesian genetic programming, Multivariant evolutionary synthesis",
• isbn13 = "978-981-13-0859-8",
• URL = "https://link.springer.com/chapter/10.1007/978-981-13-0860-4_4#citeas",
• DOI = "doi:10.1007/978-981-13-0860-4_4",
• abstract = "We propose a new multivariant evolutionary algorithm for solving the problem of construction of nonlinear models (mathematical expressions, functions, algorithms, and programs) based on the given experimental data, sets of variables, basic functions, and operations. The proposed algorithm of multivariant evolutionary synthesis of nonlinear models includes a linear representation of a chromosome by real variables, simple operations in decoding of a genotype into a phenotype for interpreting a chromosome as a sequence of instructions, and also a multivariant method for presenting a set of models (expressions) using a single chromosome. We compare the proposed algorithm with the standard genetic programming algorithm (GP) and the Cartesian genetic programming (CGP) one. We show that the proposed algorithm exceeds the GP and CGP algorithms both in the time required for search for a solution (more than by an order of magnitude in the most cases) and in the probability of finding a given model.",
• notes = "Nov 2018 publisher gives year as 2019",

}

Genetic Programming entries for Oleg G Monakhov Emilia A Monakhova

Citations