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Genetic Algorithms
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The article was published on 2002-01-01 and is currently open access. It has received 17039 citations till now.read more
Citations
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Journal ArticleDOI
Control of quantum phenomena: past, present and future
TL;DR: Adaptive feedback control (AFC) as mentioned in this paper is a state-of-the-art technique for quantum control. But it is not suitable for the case of femtosecond laser sources.
Journal ArticleDOI
Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms
TL;DR: A genetic algorithm to seek the optimal location of multi-type FACTS devices in a power system and shows that the simultaneous use of several kinds of controllers is the most efficient solution to increase the loadability of the system.
Journal ArticleDOI
Multiwavelength Achromatic Metasurfaces by Dispersive Phase Compensation
TL;DR: In this article, a planar lens without chromatic aberrations at three wavelengths is presented, which is based on low-loss dielectric resonators which introduce a dense spectrum of optical modes to enable dispersive phase compensation.
Proceedings ArticleDOI
Tutorial on agent-based modeling and simulation
Charles M. Macal,Michael North +1 more
TL;DR: This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing ABMS models, and provides some thoughts on the relationship between ABMS and traditional modeling techniques.
A Exploration and Exploitation in Evolutionary Algorithms: A Survey
TL;DR: In this paper, a good ratio between exploration and exploitation of a search space is defined as the ratio between the probability that a search algorithm is successful and the probability of being successful.
References
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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