Gpgpu For Evolutionary Algorithms
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Massively Parallel Evolutionary Computation On Gpgpus
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Author : Shigeyoshi Tsutsui
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-05
Massively Parallel Evolutionary Computation On Gpgpus written by Shigeyoshi Tsutsui and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-05 with Computers categories.
Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have been many attempts to develop platforms for running parallel EAs using multicore machines, massively parallel cluster machines, or grid computing environments. Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up this possibility for parallel EAs, and this is the first book dedicated to this exciting development. The three chapters of Part I are tutorials, representing a comprehensive introduction to the approach, explaining the characteristics of the hardware used, and presenting a representative project to develop a platform for automatic parallelization of evolutionary computing (EC) on GPGPUs. The 10 chapters in Part II focus on how to consider key EC approaches in the light of this advanced computational technique, in particular addressing generic local search, tabu search, genetic algorithms, differential evolution, swarm optimization, ant colony optimization, systolic genetic search, genetic programming, and multiobjective optimization. The 6 chapters in Part III present successful results from real-world problems in data mining, bioinformatics, drug discovery, crystallography, artificial chemistries, and sudoku. Although the parallelism of EAs is suited to the single-instruction multiple-data (SIMD)-based GPU, there are many issues to be resolved in design and implementation, and a key feature of the contributions is the practical engineering advice offered. This book will be of value to researchers, practitioners, and graduate students in the areas of evolutionary computation and scientific computing.
Gpgpu For Evolutionary Algorithms
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Author : Ogier Maitre
language : en
Publisher:
Release Date : 2011
Gpgpu For Evolutionary Algorithms written by Ogier Maitre and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Evolutionary algorithms can find satisfactory, but not necessarily optimal solutions to complex problems. The power of these algorithms is directly related to the available computing power. Indeed, these algorithms perform a parallel exploration of the search space, through the evolution of a population of individuals more or less suited to the problem being solved. The available computing power has a direct impact on the population size and therefore the exploration/exploitation ability of a given algorithm. On the other hand, multicore processor architectures are being developed largely nowadays. These processors can contain up to hundreds of cores in a chip, but have structural constraints that impose an adaptation of the algorithms to be ported on. Among multicore processors, GPGPU-type (for General Purpose Graphical Processing Unit) processors, which are generalized versions of 3D rendering chips, have been industrially developed since 2007. These processors have up to hundreds of cores per chip and allow to obtain speedups of several hundred times, on some applications. This thesis details the use of such architectures in the context of evolutionary algorithms. Several variants of these algorithms are studied, such as GA / ES and GP. Implementation on mixed architectures and GPGPUs only were considered, using artificial and real-world application.
Artificial Evolution
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Author : Jin-Kao Hao
language : en
Publisher: Springer
Release Date : 2012-11-28
Artificial Evolution written by Jin-Kao Hao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Computers categories.
This book constitutes selected best papers from the 10th International Conference on Artificial Evolution, EA 2011, held in Angers, France, in October 2011. Initially, 33 full papers and 10 post papers were carefully reviewed and selected from 64 submissions. This book presents the 19 best papers selected from these contributions. The papers are organized in topical sections on ant colony optimization; multi-objective optimization; analysis; implementation and robotics; combinatorial optimization; learning and parameter tuning; new nature inspired models; probabilistic algorithms; theory and evolutionary search; and applications.
Parallel Genetic Algorithms For Financial Pattern Discovery Using Gpus
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Author : João Baúto
language : en
Publisher: Springer
Release Date : 2018-02-03
Parallel Genetic Algorithms For Financial Pattern Discovery Using Gpus written by João Baúto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-03 with Technology & Engineering categories.
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.
Parallel Architectures And Bioinspired Algorithms
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Author : Francisco Fernández de Vega
language : en
Publisher: Springer
Release Date : 2012-04-27
Parallel Architectures And Bioinspired Algorithms written by Francisco Fernández de Vega and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-27 with Technology & Engineering categories.
This monograph presents examples of best practices when combining bioinspired algorithms with parallel architectures. The book includes recent work by leading researchers in the field and offers a map with the main paths already explored and new ways towards the future. Parallel Architectures and Bioinspired Algorithms will be of value to both specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to understand the present and the future of Parallel Architectures and Bioinspired Algorithms.
Shaderx4
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Author : Wolfgang F. Engel
language : en
Publisher:
Release Date : 2006
Shaderx4 written by Wolfgang F. Engel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
With all new articles, this resource provides graphics and game programmers with innovative, ready-to-use techniques and tips for programming that have been written by pros and industry experts. By using these techniques, programmers will become more efficient and better prepared to overcome a variety of programming challenges.
Evolutionary Decision Trees In Large Scale Data Mining
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Author : Marek Kretowski
language : en
Publisher: Springer
Release Date : 2019-06-05
Evolutionary Decision Trees In Large Scale Data Mining written by Marek Kretowski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-05 with Computers categories.
This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly smaller than those produced by standard top-down methods, an aspect that is critical for the interpretation of mined patterns by domain analysts. The approach presented here is extremely flexible and can easily be adapted to specific data mining applications, e.g. cost-sensitive model trees for financial data or multi-test trees for gene expression data. The global induction can be efficiently applied to large-scale data without the need for extraordinary resources. With a simple GPU-based acceleration, datasets composed of millions of instances can be mined in minutes. In the event that the size of the datasets makes the fastest memory computing impossible, the Spark-based implementation on computer clusters, which offers impressive fault tolerance and scalability potential, can be applied.
Gpu Based Parallel Implementation Of Swarm Intelligence Algorithms
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Author : Ying Tan
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-04-15
Gpu Based Parallel Implementation Of Swarm Intelligence Algorithms written by Ying Tan and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-15 with Computers categories.
GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research. - Presents a concise but sufficient introduction to general-purpose GPU computing which can help the layman become familiar with this emerging computing technique - Describes implementation details, such as parallel models and performance metrics, so readers can easily utilize the techniques to accelerate their algorithmic programs - Appeals to readers from the domain of high performance computing (HPC) who will find the relatively young research domain of swarm intelligence very interesting - Includes many real-world applications, which can be of great help in deciding whether or not swarm intelligence algorithms or GPGPU is appropriate for the task at hand
Progress In Applied Sciences Engineering And Technology
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Author : Pei Long Xu
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2014-05-23
Progress In Applied Sciences Engineering And Technology written by Pei Long Xu and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2014 International Conference on Materials Science and Computational Engineering (ICMSCE 2014), May 20-21, 2014, Qingdao, China
Science
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Author : John Michels (Journalist)
language : en
Publisher:
Release Date : 2011
Science written by John Michels (Journalist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Science categories.