Genetic Algorithms: Principles and Perspectives
Title | Genetic Algorithms: Principles and Perspectives PDF eBook |
Author | Colin R. Reeves |
Publisher | Springer Science & Business Media |
Pages | 337 |
Release | 2006-04-11 |
Genre | Computers |
ISBN | 0306480506 |
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.
Genetic Algorithms: Principles and Perspectives
Title | Genetic Algorithms: Principles and Perspectives PDF eBook |
Author | Colin Reeves |
Publisher | Springer |
Pages | 332 |
Release | 2013-05-05 |
Genre | Computers |
ISBN | 9781475778175 |
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems.
Genetic Algorithms
Title | Genetic Algorithms PDF eBook |
Author | Kim-Fung Man |
Publisher | Springer Science & Business Media |
Pages | 346 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 144710577X |
This comprehensive book gives a overview of the latest discussions in the application of genetic algorithms to solve engineering problems. Featuring real-world applications and an accompanying disk, giving the reader the opportunity to use an interactive genetic algorithms demonstration program.
Introduction to Genetic Algorithms
Title | Introduction to Genetic Algorithms PDF eBook |
Author | S.N. Sivanandam |
Publisher | Springer Science & Business Media |
Pages | 453 |
Release | 2007-10-24 |
Genre | Technology & Engineering |
ISBN | 3540731903 |
This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.
Proceedings of the First International Conference on Genetic Algorithms and their Applications
Title | Proceedings of the First International Conference on Genetic Algorithms and their Applications PDF eBook |
Author | John J. Grefenstette |
Publisher | Psychology Press |
Pages | 345 |
Release | 2014-01-02 |
Genre | Psychology |
ISBN | 1317760247 |
Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large number of possible solutions to the given problems. This book describes recent advances in the theory and practice of one such search method, called Genetic Algorithms. Genetic algorithms are evolutionary search techniques based on principles derived from natural population genetics, and are currently being applied to a variety of difficult problems in science, engineering, and artificial intelligence.
Genetic Algorithm Essentials
Title | Genetic Algorithm Essentials PDF eBook |
Author | Oliver Kramer |
Publisher | Springer |
Pages | 94 |
Release | 2017-01-07 |
Genre | Technology & Engineering |
ISBN | 331952156X |
This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
Genetic Algorithms and Genetic Programming
Title | Genetic Algorithms and Genetic Programming PDF eBook |
Author | Michael Affenzeller |
Publisher | CRC Press |
Pages | 395 |
Release | 2009-04-09 |
Genre | Computers |
ISBN | 1420011324 |
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for al