- author = "Stephanie Forrest",
- title = "Genetic Algorithms: Principles of Natural Selection Applied to Computation",
- journal = "Science",
- year = "1993",
- volume = "261",
- number = "5123",
- pages = "872--878",
- month = "13 " # aug,
- keywords = "genetic algorithms, genetic programming, automatic programming",
-
URL = "
http://www.sciencemag.org/content/261/5123/872.abstract",
- eprint = "http://www.sciencemag.org/content/261/5123/872.full.pdf",
-
DOI = "
doi:10.1126/science.8346439",
- size = "8 pages",
- abstract = "A genetic algorithm is a form of evolution that occurs on a computer. Genetic algorithms are a search method that can be used for both solving problems and modelling evolutionary systems. With various mapping techniques and an appropriate measure of fitness, a genetic algorithm can be tailored to evolve a solution for many types of problems, including optimisation of a function of determination of the proper order of a sequence. Mathematical analysis has begun to explain how genetic algorithms work and how best to use them. Recently, genetic algorithms have been used to model several natural evolutionary systems, including immune systems.",
-
notes = "Koza GP Lisp s-expression page 875
PMID: 8346439",
