Journal ArticleDOI
Generalizing the notion of schema in genetic algorithms
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The concept of schema and the Schema Theorem are interpreted from a new perspective, which allows GAs to be regarded as a constrained random walk, and offers a view which is amenable to generalization.About:
This article is published in Artificial Intelligence.The article was published on 1991-08-01. It has received 146 citations till now. The article focuses on the topics: Schema (psychology) & Generalization.read more
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An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
Journal ArticleDOI
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
TL;DR: Different models of genetic operators and some mechanisms available for studying the behaviour of this type of genetic algorithms are revised and compared.
Journal ArticleDOI
Using genetic algorithms to find technical trading rules1
Franklin Allen,Risto Karjalainen +1 more
TL;DR: In this article, a genetic algorithm was used to learn technical trading rules for the S&P 500 index using daily prices from 1928 to 1995, and the rules were able to identify periods to be in the index when daily returns are positive and volatility is low and out when the reverse is true.
Journal Article
Genetic algorithms, noise, and the sizing of populations
TL;DR: Results suggest how the sizing equation may be viewed as a coarse delineation of a boundary between what a physicist might call two distinct phases of GA behavior, and how these results may one day lead to rigorous proofs of convergence for recombinative G As operating on problems of bounded description.
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The coevolution of automata in the repeated Prisoner's Dilemma
TL;DR: A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated Prisoner's Dilemma game under both perfect and imperfect reporting, indicating that information conditions lead to significant differences among the evolving strategies.
References
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Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.