Framework for evolutionary operators

Research output: Contribution to conferencePaperpeer-review


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


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

ASJC Scopus subject areas

  • General Engineering


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