Genetic Algorithms and Artificial Life-Reference-Cited by-同舟云学术

Genetic Algorithms and Artificial Life

Published:1994-04 Issue:3 Volume:1 Page:267-289
ISSN:1064-5462
Container-title:Artificial Life
language:en
Short-container-title:Artificial Life

Author:

Mitchell Melanie¹,Forrest Stephanie²

Affiliation:

1. Santa Fe Institute, 1660 Old Pecos Tr., Suite A, Santa Fe, NM 87501.

2. Department of Computer Science, University of New Mexico, Albuquerque, NM 87131-1386.

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.

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/artl.1994.1.3.267

Reference25 articles.

1. Genetic Algorithms: Principles of Natural Selection Applied to Computation

2. On designing economic agents that behave like human agents

3. A New Factor in Evolution

4. Recombination dynamics and the fitness landscape

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