Parallel Genetic Algorithms

Author : Gabriel Luque,Enrique Alba
Publisher : Springer Science & Business Media
Page : 173 pages
File Size : 46,8 Mb
Release : 2011-06-15
Category : Computers
ISBN : 9783642220838

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Parallel Genetic Algorithms by Gabriel Luque,Enrique Alba Pdf

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 : Erick Cantú-Paz
Publisher : Springer Science & Business Media
Page : 171 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461543695

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Efficient and Accurate Parallel Genetic Algorithms by Erick Cantú-Paz Pdf

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 : Gabriel Luque,Enrique Alba
Publisher : Unknown
Page : 171 pages
File Size : 42,7 Mb
Release : 2011
Category : Electronic
ISBN : 3642220851

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Parallel Genetic Algorithms by Gabriel Luque,Enrique Alba Pdf

Author : Joachim Stender
Publisher : IOS Press
Page : 230 pages
File Size : 44,9 Mb
Release : 1993
Category : Computers
ISBN : 9051990871

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Parallel Genetic Algorithms by Joachim Stender Pdf

Author : J.D. Becker,I. Eisele,F.W. Mündemann
Publisher : Springer Science & Business Media
Page : 540 pages
File Size : 43,7 Mb
Release : 1991-12-04
Category : Computers
ISBN : 3540550275

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Parallelism, Learning, Evolution by J.D. Becker,I. Eisele,F.W. Mündemann Pdf

This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.

Author : Lance D. Chambers
Publisher : CRC Press
Page : 602 pages
File Size : 43,8 Mb
Release : 2019-09-17
Category : Mathematics
ISBN : 1420050087

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Practical Handbook of Genetic Algorithms by Lance D. Chambers Pdf

Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic algorithm systems - compiling them from an array of practitioners in the field. Each contribution of this singular resource includes: unique code segments documentation descripti

Author : Olympia Roeva
Publisher : BoD – Books on Demand
Page : 379 pages
File Size : 55,5 Mb
Release : 2012-03-07
Category : Computers
ISBN : 9789535101468

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Real-World Applications of Genetic Algorithms by Olympia Roeva Pdf

The book addresses some of the most recent issues, with the theoretical and methodological aspects, of evolutionary multi-objective optimization problems and the various design challenges using different hybrid intelligent approaches. Multi-objective optimization has been available for about two decades, and its application in real-world problems is continuously increasing. Furthermore, many applications function more effectively using a hybrid systems approach. The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc.

Author : Joachim Stender,E. Hillebrand,J. Kingdon
Publisher : IOS Press
Page : 274 pages
File Size : 50,5 Mb
Release : 1994
Category : Computers
ISBN : 9051991800

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Genetic Algorithms in Optimisation, Simulation and Modelling by Joachim Stender,E. Hillebrand,J. Kingdon Pdf

This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.

Author : João Baúto,Rui Neves,Nuno Horta
Publisher : Springer
Page : 91 pages
File Size : 44,6 Mb
Release : 2018-02-03
Category : Technology & Engineering
ISBN : 9783319733296

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Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs by João Baúto,Rui Neves,Nuno Horta Pdf

This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA.

Author : Randy L. Haupt,Sue Ellen Haupt
Publisher : John Wiley & Sons
Page : 273 pages
File Size : 49,6 Mb
Release : 2004-07-30
Category : Technology & Engineering
ISBN : 9780471671756

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Practical Genetic Algorithms by Randy L. Haupt,Sue Ellen Haupt Pdf

* 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

Author : Melanie Mitchell
Publisher : MIT Press
Page : 226 pages
File Size : 49,9 Mb
Release : 1998-03-02
Category : Computers
ISBN : 0262631857

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An Introduction to Genetic Algorithms by Melanie Mitchell Pdf

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

Author : Ibrahim H. Osman,James P. Kelly
Publisher : Springer Science & Business Media
Page : 676 pages
File Size : 41,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461313618

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Meta-Heuristics by Ibrahim H. Osman,James P. Kelly Pdf

Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.

Author : Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham
Publisher : CRC Press
Page : 395 pages
File Size : 55,5 Mb
Release : 2009-04-09
Category : Computers
ISBN : 9781420011326

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Genetic Algorithms and Genetic Programming by Michael Affenzeller,Stefan Wagner,Stephan Winkler,Andreas Beham Pdf

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 : Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truthe,Miguel A. Vega-Rodríguez
Publisher : Springer
Page : 250 pages
File Size : 46,8 Mb
Release : 2013-11-29
Category : Computers
ISBN : 9783642450082

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Theory and Practice of Natural Computing by Adrian-Horia Dediu,Carlos Martín-Vide,Bianca Truthe,Miguel A. Vega-Rodríguez Pdf

This book constitutes the refereed proceedings of the Second International Conference, TPNC 2013, held in Cáceres, Spain, in December 2013. The 19 revised full papers presented together with one invited talk were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on nature-inspired models of computation; synthesizing nature by means of computation; nature-inspired materials and information processing in nature.

Author : Hojjat Adeli,Amgad Saleh
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 55,9 Mb
Release : 1999-05-03
Category : Technology & Engineering
ISBN : 047135094X

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Control, Optimization, and Smart Structures by Hojjat Adeli,Amgad Saleh Pdf

"Smarte" oder "adaptive" Systeme sind die neue Generation von Konstruktionen im Bauwesen. Mit Hilfe integrierter Computersteuerungen können solche Systeme auf äußere Einflüsse wie Erdbeben und Stürme flexibel reagieren. Derartige Technologien erobern gegenwärtig die Akzeptanz der Fachleute - daher ist dieses Buch, das sich mit technischen Aspekten ebenso wie mit der Praxis der effektiven Konstruktion beschäftigt, hochaktuell. (08/99)