High-Performance, Parallel, Stack-Based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{stoffel:1996:hpsbGP,

• author = "Kilian Stoffel and Lee Spector",
• title = "High-Performance, Parallel, Stack-Based Genetic Programming",
• booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
• editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
• year = "1996",
• month = "28--31 " # jul,
• keywords = "genetic algorithms, genetic programming",
• pages = "224--229",
• address = "Stanford University, CA, USA",
• publisher = "MIT Press",
• URL = "http://helios.hampshire.edu/lspector/pubs/HiGP-gp96-e.pdf",
• size = "9 pages",
• abstract = "HiGP is a new high-performance genetic programming system. This system combines techniques from string-based genetic algorithms, Sexpression-based genetic programming systems, and high-performance parallel computing. The result is a fast, flexible, and easily portable genetic programming engine with a clear and efficient parallel implementation. HiGP manipulates and produces linear programs for a stack-based virtual machine, rather than the tree-structured S-expressions used in traditional genetic programming. In this paper we describe the HiGP virtual machine and genetic programming algorithms. We demonstrate the system's performance on a symbolic regression problem and show that HiGP can solve this problem with substantially less computational effort than can a traditional genetic programming system. We also show that HiGP's time performance is significantly better than that of a well-written S-expression-based system, also written in C. We further show that our parallel version of HiGP achieves a speedup that is nearly linear in the number of processors, without mandating the use of localised breeding strategies.",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap27.pdf",
• URL = "http://cognet.mit.edu/library/books/view?isbn=0262611279",
• notes = "GP-96 lil-gp, IBM SP2",

}

Genetic Programming entries for Kilian Stoffel Lee Spector

Citations