Volume 12 Number 6 (June. 2017)
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JSW 2017 Vol.12(6): 483-492 ISSN: 1796-217X
doi: 10.17706/jsw.12.6.483-492

Effects of Population, Generation and Test Case Count on Grammatical Genetic Programming for Integer Lists

Hakan Ayral*, Songül Albayrak*
Yildiz Technical University, Computer Engineering Department, Istanbul, Turkey.

Abstract—This paper investigates how grammatical genetic programming performs for evolving simple integer list manipulation functions. We propose three sub-problems which are related to, or component of integer sorting problem as defined by genetic programming literature. We further investigate the effects of modifying evolutionary parameters, such as the number of generations allowed, number of populations, and number of test cases, on the number and distribution of successful solutions. Finally, we propose an AST based dead-code removal for the intron induced non-functional codes on evolved individuals.

Index Terms—BNF grammar, evolutionary computing, formal language, grammatical genetic programming.


Cite: Hakan Ayral, Songül Albayrak, "Effects of Population, Generation and Test Case Count on Grammatical Genetic Programming for Integer Lists," Journal of Software vol. 12, no. 6, pp. 483-492, 2017.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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