A Survey of Genetic Programming and Its Applications

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

@Article{Taleby-Ahvanooey:2019:itiis,

• author = "Milad {Taleby Ahvanooey} and Qianmu Li and Ming Wu and Shuo Wang",
• title = "A Survey of Genetic Programming and Its Applications",
• journal = "KSII Transactions on Internet and Information Systems",
• year = "2019",
• volume = "13",
• number = "4",
• pages = "1765--1794",
• month = "29 " # apr,
• keywords = "genetic algorithms, genetic programming, Automatic Programming Genetic Operators",
• ISSN = "1976-7277",
• URL = "http://itiis.org/digital-library/manuscript/2311",
• DOI = "doi:10.3837/tiis.2019.04.002",
• size = "30 pages",
• abstract = "Genetic Programming (GP) is an intelligence technique whereby computer programs are encoded as a set of genes which are evolved using a Genetic Algorithm (GA). In other words, the GP employs novel optimization techniques to modify computer programs; imitating the way humans develop programs by progressively re-writing them for solving problems automatically. Trial programs are frequently altered in the search for obtaining superior solutions due to the base is GA. These are evolutionary search techniques inspired by biological evolution such as mutation, reproduction, natural selection, recombination, and survival of the fittest. The power of GAs is being represented by an advancing range of applications; vector processing, quantum computing, VLSI circuit layout, and so on. But one of the most significant uses of GAs is the automatic generation of programs. Technically, the GP solves problems automatically without having to tell the computer specifically how to process it. To meet this requirement, the GP uses GAs to a population of trial programs, traditionally encoded in memory as tree-structures. Trial programs are estimated using a fitness function and the suited solutions picked for re-evaluation and modification such that this sequence is replicated until a correct program is generated. GP has represented its power by modifying a simple program for categorizing news stories, executing optical character recognition, medical signal filters, and for target identification, etc. This paper reviews existing literature regarding the GPs and their applications in different scientific fields and aims to provide an easy understanding of various types of GPs for beginners.",
• notes = "http://itiis.org/about",

}

Genetic Programming entries for Milad Taleby Ahvanooey Qianmu Li Shuo Wang Shuo Wang

Citations