Research on Improved Immune Genetic Algorithm and its Application in Integration Planning

Autor:	Min Xia Liu, Wu Xue Jiang
Rok vydání:	2014
Předmět:	Mathematical optimization Computer science business.industry Genetic algorithm General Engineering Artificial intelligence Algebra over a field Immune genetic algorithm business Machine learning computer.software_genre computer Premature convergence
Zdroj:	Advanced Materials Research. :1058-1061
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.998-999.1058
Popis:	In order to improve the efficiency of intelligence algorithm in integration planning and to avoid “premature” phenomenon, an improved genetic algorithm strategy-a method based on fitness density and scaling is proposed in the paper. It applies a new encoding way of integration planning. The two examples of simulation experiments show that the genetic improvement strategy could significantly reduce solving algebra and prevent “premature” phenomenon.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::02f2b1864eab334a46b5667fbc977a5f https://doi.org/10.4028/www.scientific.net/amr.998-999.1058 Zobrazit plný text záznamu