Using genetic programming for the induction of novice procedural programming solution algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{pillay:2002:SAC,

• author = "Nelishia Pillay",
• title = "Using genetic programming for the induction of novice procedural programming solution algorithms",
• booktitle = "SAC '02: Proceedings of the 2002 ACM symposium on Applied computing",
• year = "2002",
• ISBN = "1-58113-445-2",
• pages = "578--583",
• publisher = "ACM Press",
• address = "Madrid, Spain",
• publisher_address = "New York, NY, USA",
• month = mar,
• organisation = "SIGAPP: ACM Special Interest Group on Applied Computing",
• keywords = "genetic algorithms, genetic programming, intelligent programming tutors",
• URL = "http://delivery.acm.org/10.1145/510000/508903/p578-pillay.pdf?key1=508903&key2=1948240311&coll=GUIDE&dl=GUIDE&CFID=58616480&CFTOKEN=84008120",
• DOI = "doi:10.1145/508791.508903",
• size = "7 pages",
• abstract = "a genetic programming system for the induction of solutions to novice procedural programming problems. This genetic programming system will form part of a generic architecture for the development of intelligent programming tutors for the procedural and object-oriented programming paradigms. An account of the primitives and system parameters needed for the derivation of solutions to problems for each of the introductory procedural programming topics is provided. This is followed by an analysis of the solutions induced by the genetic programming system. Finally, the paper discusses the future work that will be carried as part of the initiative to evaluate genetic programming as a means of inducing solutions to novice procedural and object-oriented programming problems.",
• notes = "Arrays, recursion, modules, strong type (STGP) integer, real string, char, boolean, acyclic graphs, parse trees, stacks, linear. Multi-tree genome. Steady state, driving screen (ASCII control codes?) \cite{langdon:book}, string manipulation: length, concat, delete, insert, copy, equal. write and change named memory. Indexed memory: aread, alen. IF, switchi switchc (switch or case). iterative control structures: for while dowhile (iteration loops) counter variable, iteration variable. Input and output structures: screen, place(x,y,output_value). Recursion: recur, variable arity? (population size=700). {"}26 novice procedural programming problems{"}. cultural learning \cite{spector:1996:ctiGP}.",

}

Genetic Programming entries for Nelishia Pillay

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