Paper
25 March 1998 Revisiting evolutionary programming
David B. Fogel, Kumar Chellapilla
Author Affiliations +
Abstract
Evolutionary programming is a method for simulating evolution that has been investigated for almost 40 years. When originally introduced, the available computing equipment was quite slow and difficult to use as measured by current standards. This paper provides a series of experiments that follow the framework of the original approach from the early 1960s, brought up to date with current computing machinery. A brief review of evolutionary programming and its relationship to other methods of evolutionary computation, specifically genetic algorithms and evolution strategies, is also offered.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David B. Fogel and Kumar Chellapilla "Revisiting evolutionary programming", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304792
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Cited by 36 scholarly publications.
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KEYWORDS
Computer programming

Genetic algorithms

Evolutionary algorithms

Genetics

Artificial intelligence

Chemical elements

Lanthanum

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