Mitchell M. An Introduction to Genetic Algorithms

Эволюционные алгоритмы в теории и практике: стратегии развития, эволюционное программирование, генетические алгоритмы. На английском языке. Oxford University Press, 1996, 319 pages. Evolutionary Aigoritiims (EAs) are a class of direcr, profaafaiiistic search and optimization algorithms gleaned from the model of organic evolution. The madn representatives of this computational...

Kenneth A. Berman, Jerome L. Paul, Course Technology, 2005, pages: 996 Algorithms: Sequential, Parallel, and Distributed offers in-depth coverage of traditional and current topics in sequential algorithms, as well as a solid introduction to the theory of parallel and distributed algorithms. In light of the emergence of modern computing environments such as parallel computers,...

Addison-Wesley, 1989. — 432 p. This book is about genetic algorithms (GAs)—search procedures based on the mechanics of natural selection and natural genetics. In writing it, I have tried to bring together the computer techniques, mathematical tools, and research results that will enable you to apply genetic algorithms to problems in your field. If you choose to do so, you will...

Packt Publishing, 2015. — 558 p. — ISBN10: 1783551216, ISBN13: 978-1-78355-121-7. Filled with dozens of working code examples that illustrate the use of over 40 popular Boost libraries, this book takes you on a tour of Boost, helping you to independently build the libraries from source and use them in your own code. The first half of the book focuses on basic programming...

Massachusetts Institute of Technology, 2012. — 1067 p. — ISBN: 0262018020, 978-0262018029. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive...

InTech, 2012. — 376 p. Genetic Algorithms are a part of Evolutionary Computing, which is a rapidly growing area of Artificial Intelligence. The popularity of Genetic Algorithms is reflected in the increasing amount of literature devoted to theoretical works and real-world applications in both scientific and engineering areas. The useful application and the proper combination of...