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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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Proceedings ArticleDOI
Optimal security hardening using multi-objective optimization on attack tree models of networks
TL;DR: This work develops a systematic approach to solve the problem of minimizing the residual damage to the system caused by not plugging all required security holes by formulating it as a multi-objective optimization problem on an attack tree model of the system and using an evolutionary algorithm to solve it.
Journal ArticleDOI
Rapid Modeling and Discovery of Priority Dispatching Rules: An Autonomous Learning Approach
TL;DR: An innovative approach is presented, which is capable of automatically discovering effective dispatching rules that are competitive with those in the literature, which are the results of decades of research.
Journal ArticleDOI
Transmission network expansion planning under a Tabu Search approach
TL;DR: In this paper, an implementation of Tabu Search to cope with long-term transmission network expansion planning problems is described, and the results obtained by their approach let us conclude that TS is a robust and promising technique to be applied in this problem.
Journal ArticleDOI
Information-based fitness and the emergence of criticality in living systems
TL;DR: This work provides an analytical framework, which demonstrates that the optimal response to broadly different changing environments occurs in systems organizing spontaneously—through adaptation or evolution—to the vicinity of a critical point, and rationalizes this apparently ubiquitous criticality in terms of adaptive and evolutionary functional advantages.
Posted Content
Cuckoo Search via Levy Flights
Xin-She Yang,Suash Deb +1 more
TL;DR: In this article, a new metaheuristic algorithm called Cuckoo Search (CS) was proposed for solving optimization problems based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy flight behavior of some birds and fruit flies.
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