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Author | : Erick Cantú-Paz |
Publisher | : Springer Science & Business Media |
Total Pages | : 192 |
Release | : 2000-11-30 |
Genre | : Computers |
ISBN | : 9780792372219 |
Download Efficient and Accurate Parallel Genetic Algorithms Book in PDF, ePub and Kindle
As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.
Author | : Erick Cantú-Paz |
Publisher | : Springer Science & Business Media |
Total Pages | : 171 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 146154369X |
Download Efficient and Accurate Parallel Genetic Algorithms Book in PDF, ePub and Kindle
As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.
Author | : Erick Cantu-Paz |
Publisher | : |
Total Pages | : 306 |
Release | : 1999 |
Genre | : |
ISBN | : |
Download Designing Efficient and Accurate Parallel Genetic Algorithms Book in PDF, ePub and Kindle
Author | : Gabriel Luque |
Publisher | : Springer Science & Business Media |
Total Pages | : 173 |
Release | : 2011-06-15 |
Genre | : Computers |
ISBN | : 3642220835 |
Download Parallel Genetic Algorithms Book in PDF, ePub and Kindle
This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs.
Author | : Michael Affenzeller |
Publisher | : CRC Press |
Total Pages | : 395 |
Release | : 2009-04-09 |
Genre | : Computers |
ISBN | : 1420011324 |
Download Genetic Algorithms and Genetic Programming Book in PDF, ePub and Kindle
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
Author | : Lance D. Chambers |
Publisher | : CRC Press |
Total Pages | : 503 |
Release | : 2019-09-17 |
Genre | : Mathematics |
ISBN | : 0429525567 |
Download The Practical Handbook of Genetic Algorithms Book in PDF, ePub and Kindle
The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism
Author | : Joachim Stender |
Publisher | : IOS Press |
Total Pages | : 230 |
Release | : 1993 |
Genre | : Computers |
ISBN | : 9789051990874 |
Download Parallel Genetic Algorithms Book in PDF, ePub and Kindle
Author | : Enrique Alba |
Publisher | : Springer |
Total Pages | : 213 |
Release | : 2006-08-29 |
Genre | : Technology & Engineering |
ISBN | : 3540328394 |
Download Parallel Evolutionary Computations Book in PDF, ePub and Kindle
This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications. It offers a wide spectrum of sample works developed in leading research about parallel implementations of efficient techniques at the heart of computational intelligence.
Author | : John J. Grefenstette |
Publisher | : Psychology Press |
Total Pages | : 269 |
Release | : 2013-08-21 |
Genre | : Psychology |
ISBN | : 1134989733 |
Download Genetic Algorithms and their Applications Book in PDF, ePub and Kindle
First Published in 1987. This is the collected proceedings of the second International Conference on Genetic Algorithms held at the Massachusetts Institute of Technology, Cambridge, MA on the 28th to the 31st July 1987. With papers on Genetic search theory, Adaptive search operators, representation issues, connectionism and parallelism, credit assignment ad learning, and applications.
Author | : Randy L. Haupt |
Publisher | : John Wiley & Sons |
Total Pages | : 273 |
Release | : 2004-07-30 |
Genre | : Technology & Engineering |
ISBN | : 0471671754 |
Download Practical Genetic Algorithms Book in PDF, ePub and Kindle
* This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and science * Most significant update to the second edition is the MATLAB codes that accompany the text * Provides a thorough discussion of hybrid genetic algorithms * Features more examples than first edition