Open AccessBook
Genetic Algorithms
About:
The article was published on 2002-01-01 and is currently open access. It has received 17039 citations till now.read more
Citations
More filters
Journal ArticleDOI
Placement of SVCs and Selection of Stabilizing Signals in Power Systems
TL;DR: In this paper, the optimal location of several static Var compensators (SVCs) in a power system based on their primary function is presented, where the frequency response characteristics of the system for all located SVCs are determined in selecting the best input signals.
Journal ArticleDOI
A genetic algorithm for cluster analysis
TL;DR: A genetic algorithm to perform the clustering of a dataset using a simple encoding scheme that yields to constant-length chromosomes that maximizes both the homogeneity within each cluster and the heterogeneity among clusters.
Journal ArticleDOI
A local search genetic algorithm for the job shop scheduling problem with intelligent agents
TL;DR: The results show that the proposed agent-based local search genetic algorithm improves the efficiency.
Journal ArticleDOI
An Empirical Model of the Medical Match
TL;DR: A framework for estimating preferences in a many-to-one matching market using only observed matches is developed and pairwise stability and a vertical preference restriction on one side are used to identify preferences on both sides of the market.
Journal ArticleDOI
Evaluating Microarray-based Classifiers: An Overview:
TL;DR: Various statistical aspects of classifier evaluation and validation from a practical point of view are reviewed, including accuracy measures, error rate estimation procedures, variable selection, choice of classifiers and validation strategy.
References
More filters
Book
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.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.
Journal ArticleDOI
An Introduction to Genetic Algorithms.
TL;DR: An Introduction to Genetic Algorithms as discussed by the authors is one of the rare examples of a book in which every single page is worth reading, and the author, Melanie Mitchell, manages to describe in depth many fascinating examples as well as important theoretical issues.
Book
Handbook of Genetic Algorithms
TL;DR: This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems, and introduces the fundamental genetic algorithm (GA), and shows how the basic technique may be applied to a very simple numerical optimisation problem.
Journal ArticleDOI
An Introduction to Population Genetics Theory
James F. Crow,Motoo Kimura +1 more
TL;DR: An introduction to population genetics theory, An introduction to Population Genetics Theory, Population Genetics theory, Population genetics theory as discussed by the authors, Population genetics, population genetics, and population genetics theories, Population Genetic Theory