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
A Survey of Learning-Based Intelligent Optimization Algorithms
TL;DR: A comprehensive survey of LIOAs is conducted in this paper, which includes statistical analysis about LIOA, classification of L IOA learning method, application of LioAs in complex optimization scenarios, and L IOAs in engineering applications.
Journal ArticleDOI
Enhanced salp swarm algorithm: Application to variable speed wind generators
TL;DR: The enhanced salp swarm algorithm (ESSA) is proposed to improve the inadequate results of the SSA compared to the other algorithms, especially for the high dimensional functions.
Journal ArticleDOI
A genetic algorithm approach to the integrated inventory-distribution problem
TL;DR: A new genetic algorithm (GA) approach for the integrated inventory distribution problem (IIDP) is introduced and a randomized version of a previously developed construction heuristic is used to generate the initial random population.
Journal ArticleDOI
An adaptive penalty function in genetic algorithms for structural design optimization
TL;DR: In this study, a new penalty scheme that is free from the aforementioned disadvantages is developed and will be able to adjust itself during the evolution in such a way that the desired degree of penalty is always obtained.
Journal ArticleDOI
Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
TL;DR: An improved version of seagull optimization algorithm for optimal parameter identification of the PEMFC stacks is presented and results show the algorithm’s superiority in terms of the solutions quality and the convergence speed.
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