Framework for evolutionary operators

Research output: Contribution to conferencePaper

Abstract

The writings on genetic algorithms (GA's) and evolutionary computing contain description of a large number of operators. Some operators are fairly ad hoc and problem specific, whereas others are applicable to a large number of problems. When faced with a new problem. The GA practitioner tries one operator after another, until one is found that works well enough if none is found, a new operator is created. This paper provides set of parameters, giving a framework to describe and compare various operators. Methods to select suitable operators are discussed, and an adaptive operator-selection algorithm is described.

Original languageEnglish (US)
Pages297-302
Number of pages6
StatePublished - Dec 1 1994
EventProceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) - St. Louis, MO, USA
Duration: Nov 13 1994Nov 16 1994

Other

OtherProceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94)
CitySt. Louis, MO, USA
Period11/13/9411/16/94

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Mohan, C. K. (1994). Framework for evolutionary operators. 297-302. Paper presented at Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94), St. Louis, MO, USA, .