Sponsor
The authors gratefully acknowledge the Santa Fe Institute Adaptive Computation Program and the Alfred P. Sloan Foundation (grant B1992-46). Support was also provided to Forrest by the National Science Foundation (grant IRI-9157644).
Published In
Artificial Life
Document Type
Article
Publication Date
Spring 1994
Subjects
Evolution -- Mathematical models, Genetic algorithms, Evolutionary computation, Genetic programming (Computer science)
Abstract
Genetic algorithms are computational models of evolution that play a central role in many artificial-life models. We review the history and current scope of research on genetic algorithms in artificial life, giving illustrative examples in which the genetic algorithm is used to study how learning and evolution interact, and to model ecosystems, immune system, cognitive systems, and social systems. We also outline a number of open questions and future directions for genetic algorithms in artificial-life research
Persistent Identifier
http://archives.pdx.edu/ds/psu/10199
Citation Details
Mitchell, Melanie, and Stephanie Forrest. "Genetic algorithms and artificial life." Artificial Life 1.3 (1994): 267-289. doi:10.1162/artl.1994.1.3.267
Description
Published in Artificial Life, © 1994 Massachusetts Institute of Technology. Article may be found at http://www.mitpressjournals.org/loi/artl.