The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Different Approaches in Genetic Programming
Abstract
The GP method explained in previous chapters was about the evolution of computer programs represented by monolithic gene (syntax tree). This is the original and most widespread type of GP that is also referred to as tree-based GP. In recent years, new variants of GP have emerged that follow the basic idea of traditional GP to automatically evolve computer programs, but the programs are evolved/represented in different ways. New variants of GP include but are not limited to stack-based genetic programming, linear genetic programming (LGP), Cartesian genetic programming, grammatical evolution (GE), graph-based GP (GGP), context-free grammar (CFGGP), multigene genetic programming (MGGP), and gene expression programming (GEP). Among these variants, main features, evolution of computer programs, and a brief review of engineering applications of MGGP, GEP, and LGP are introduced in this chapter.
Related Content
Aniruddh Rabari, Janki A. Ruparelia, Chaitanya Kumar Jha.
© 2022.
12 pages.
|
Aparna Baban Gunjal, Nilaja Pradeep Badodekar.
© 2022.
22 pages.
|
Vishal Arvindlal Mevada, Urvisha Himmatbhai Beladiya, Himani Rajendrakumar Gandhi, Amitsinh Vijaysinh Mangrola, Rajesh Kanjibhai Patel.
© 2022.
30 pages.
|
Amitsinh Vijaysinh Mangrola, Rajesh Kanjibhai Patel, Pravin Dudhagara, Himani Gandhi, Anjana Ghelani, Kunal R. Jain, Hardik Shah, Vishal Arvindlal Mevada.
© 2022.
29 pages.
|
Shreyas Anantray Bhatt.
© 2022.
29 pages.
|
Kailas V. Fuldeore, Nafisa Patel, Aradhana Hitesh bhai Bavarva, Vrushali Ashok Wagh.
© 2022.
12 pages.
|
Suneeta Gireesh Panicker.
© 2022.
25 pages.
|
|
|