Simultaneous Evolution of Programs and their Control Structures

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

@InCollection{spector:1996:aigp2,

• author = "Lee Spector",
• title = "Simultaneous Evolution of Programs and their Control Structures",
• booktitle = "Advances in Genetic Programming 2",
• publisher = "MIT Press",
• year = "1996",
• editor = "Peter J. Angeline and K. E. {Kinnear, Jr.}",
• pages = "137--154",
• chapter = "7",
• address = "Cambridge, MA, USA",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-262-01158-1",
• URL = "http://helios.hampshire.edu/lspector/pubs/AiGP2-post-final-e.pdf",
• URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6277496",
• DOI = "doi:10.7551/mitpress/1109.003.0012",
• size = "18 pages",
• abstract = "This chapter shows how a genetic programming system can be used to simultaneously evolve programs and their control structures. Koza has previously shown that the performance of a genetic programming system can sometimes be improved by allowing for the simultaneous evolution of a main program and a collection of automatically defined functions (ADFs). This chapter shows how related techniques can be used to simultaneously evolve a main program and a collection of automatically defined macros (ADMs). Examples are provided to show how the use of ADMs can lead to the production of useful new control structures during evolution, and data is presented to show that ADMs sometimes provide a greater benefit than do ADFs. The chapter includes a discussion of characteristics of problems that may benefit most from the use of ADMs or from architectures that include both ADFs and ADMs. It is suggested that ADMs are likely to be useful for evolving intelligent action systems for complex environments, and data is presented to show that this is the case for one such application. The chapter concludes with a discussion of several directions for further research.",

}

Genetic Programming entries for Lee Spector

Citations