Evolutionary Global Optimization, Manifolds and Applications

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Publisher : Springer
ISBN 13 : 3319264672
Total Pages : 143 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Evolutionary Global Optimization, Manifolds and Applications by : Hime Aguiar e Oliveira Junior

Download or read book Evolutionary Global Optimization, Manifolds and Applications written by Hime Aguiar e Oliveira Junior and published by Springer. This book was released on 2015-12-09 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. It describes recent findings and well-known key facts in general and differential topology, revisiting them all in the context of application to current optimization problems. Special emphasis is put on game theory problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA. In addition, more abstract examples, including minimizations of well-known functions, are also included. Although the Fuzzy ASA approach has been chosen as the main optimizing paradigm, the book suggests that other metaheuristic methods could be used as well. Some of them are introduced, together with their advantages and disadvantages. Readers should possess some knowledge of linear algebra, and of basic concepts of numerical analysis and probability theory. Many necessary definitions and fundamental results are provided, with the formal mathematical requirements limited to a minimum, while the focus is kept firmly on continuous problems. The book offers a valuable resource for students, researchers and practitioners. It is suitable for university courses on optimization and for self-study.

Differential Evolution

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Publisher : Springer Science & Business Media
ISBN 13 : 3540313060
Total Pages : 544 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Differential Evolution by : Kenneth Price

Download or read book Differential Evolution written by Kenneth Price and published by Springer Science & Business Media. This book was released on 2006-03-04 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.

Evolutionary Multiobjective Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281377
Total Pages : 313 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Evolutionary Multiobjective Optimization by : Ajith Abraham

Download or read book Evolutionary Multiobjective Optimization written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2005-09-05 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.

Swarm, Evolutionary, and Memetic Computing

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Publisher : Springer
ISBN 13 : 3319037536
Total Pages : 800 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Swarm, Evolutionary, and Memetic Computing by : Bijaya Ketan Panigrahi

Download or read book Swarm, Evolutionary, and Memetic Computing written by Bijaya Ketan Panigrahi and published by Springer. This book was released on 2013-12-13 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume set was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Evolutionary Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0306480417
Total Pages : 416 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Evolutionary Optimization by : Ruhul Sarker

Download or read book Evolutionary Optimization written by Ruhul Sarker and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation techniques have attracted increasing att- tions in recent years for solving complex optimization problems. They are more robust than traditional methods based on formal logics or mathematical programming for many real world OR/MS problems. E- lutionary computation techniques can deal with complex optimization problems better than traditional optimization techniques. However, most papers on the application of evolutionary computation techniques to Operations Research /Management Science (OR/MS) problems have scattered around in different journals and conference proceedings. They also tend to focus on a very special and narrow topic. It is the right time that an archival book series publishes a special volume which - cludes critical reviews of the state-of-art of those evolutionary com- tation techniques which have been found particularly useful for OR/MS problems, and a collection of papers which represent the latest devel- ment in tackling various OR/MS problems by evolutionary computation techniques. This special volume of the book series on Evolutionary - timization aims at filling in this gap in the current literature. The special volume consists of invited papers written by leading - searchers in the field. All papers were peer reviewed by at least two recognised reviewers. The book covers the foundation as well as the practical side of evolutionary optimization.

Evolutionary Large-Scale Multi-Objective Optimization and Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1394178417
Total Pages : 358 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Evolutionary Large-Scale Multi-Objective Optimization and Applications by : Xingyi Zhang

Download or read book Evolutionary Large-Scale Multi-Objective Optimization and Applications written by Xingyi Zhang and published by John Wiley & Sons. This book was released on 2024-09-11 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tackle the most challenging problems in science and engineering with these cutting-edge algorithms Multi-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and engineering projects, these problems are notoriously challenging. In recent years, evolutionary algorithms (EAs) have shown significant promise in their ability to solve MOPs, but challenges remain at the level of large-scale multi-objective optimization problems (LSMOPs), where the number of variables increases and the optimized solution is correspondingly harder to reach. Evolutionary Large-Scale Multi-Objective Optimization and Applications constitutes a systematic overview of EAs and their capacity to tackle LSMOPs. It offers an introduction to both the problem class and the algorithms before delving into some of the cutting-edge algorithms which have been specifically adapted to solving LSMOPs. Deeply engaged with specific applications and alert to the latest developments in the field, it’s a must-read for students and researchers facing these famously complex but crucial optimization problems. The book’s readers will also find: Analysis of multi-optimization problems in fields such as machine learning, network science, vehicle routing, and more Discussion of benchmark problems and performance indicators for LSMOPs Presentation of a new taxonomy of algorithms in the field Evolutionary Large-Scale Multi-Objective Optimization and Applications is ideal for advanced students, researchers, and scientists and engineers facing complex optimization problems.

Evolutionary Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 3540753826
Total Pages : 600 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Intelligence by : S. Sumathi

Download or read book Evolutionary Intelligence written by S. Sumathi and published by Springer Science & Business Media. This book was released on 2008-05-15 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a highly accessible introduction to evolutionary computation. It details basic concepts, highlights several applications of evolutionary computation, and includes solved problems using MATLAB software and C/C++. This book also outlines some ideas on when genetic algorithms and genetic programming should be used. The most difficult part of using a genetic algorithm is how to encode the population, and the author discusses various ways to do this.

Intelligent Optimization

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Publisher : Springer Nature
ISBN 13 : 9819732867
Total Pages : 369 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Intelligent Optimization by : Changhe Li

Download or read book Intelligent Optimization written by Changhe Li and published by Springer Nature. This book was released on with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evolutionary Computation in Combinatorial Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3540213678
Total Pages : 252 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Evolutionary Computation in Combinatorial Optimization by : Jens Gottlieb

Download or read book Evolutionary Computation in Combinatorial Optimization written by Jens Gottlieb and published by Springer Science & Business Media. This book was released on 2004-03-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings for the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2004, held in Coimbra, Portugal, in April together with EuroGP 2004 and six workshops on evolutionary computing. The 23 revised full papers presented were carefully reviewed and selected from 86 submissions. Among the topics addressed are evolutionary algorithms as well as metaheuristics like memetic algorithms, ant colony optimization, and scatter search; the papers are dealing with representations, operators, search spaces, adaptation, comparison of algorithms, hybridization of different methods, and theory. Among the combinatorial optimization problems studied are graph coloring, network design, cutting, packing, scheduling, timetabling, traveling salesman, vehicle routing, and various other real-world applications.

Multiobjective Evolutionary Algorithms and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9781852338367
Total Pages : 314 pages
Book Rating : 4.3/5 (383 download)

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Book Synopsis Multiobjective Evolutionary Algorithms and Applications by : Kay Chen Tan

Download or read book Multiobjective Evolutionary Algorithms and Applications written by Kay Chen Tan and published by Springer Science & Business Media. This book was released on 2005-05-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary multiobjective optimization is currently gaining a lot of attention, particularly for researchers in the evolutionary computation communities. Covers the authors’ recent research in the area of multiobjective evolutionary algorithms as well as its practical applications.

Bio-Inspired Computing: Theories and Applications

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Publisher : Springer Nature
ISBN 13 : 9811613540
Total Pages : 653 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Bio-Inspired Computing: Theories and Applications by : Linqiang Pan

Download or read book Bio-Inspired Computing: Theories and Applications written by Linqiang Pan and published by Springer Nature. This book was released on 2021-03-31 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the revised selected papers of the 15th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2020, held in Qingdao, China, in October 2020. The 43 full papers presented in both volumes were selected from 109 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; neural networks and machine learning; DNA computing and membrane computing.

Evolutionary Multi-Criterion Optimization

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Publisher : Springer
ISBN 13 : 3540709282
Total Pages : 972 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Shigeru Obayashi

Download or read book Evolutionary Multi-Criterion Optimization written by Shigeru Obayashi and published by Springer. This book was released on 2007-05-20 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. The 65 revised full papers presented together with 4 invited papers are organized in topical sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, many objectives, objective handling, and performance assessments.

Topological Data Analysis for Genomics and Evolution

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Publisher : Cambridge University Press
ISBN 13 : 1108753396
Total Pages : 521 pages
Book Rating : 4.1/5 (87 download)

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Book Synopsis Topological Data Analysis for Genomics and Evolution by : Raúl Rabadán

Download or read book Topological Data Analysis for Genomics and Evolution written by Raúl Rabadán and published by Cambridge University Press. This book was released on 2019-10-31 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biology has entered the age of Big Data. The technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce questions to a comparison of algebraic invariants, such as numbers, which are typically easier to solve. Topological data analysis is a rapidly-developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer and single cell characterization of developmental processes. Bridging two disciplines, the book is for researchers and graduate students in genomics and evolutionary biology alongside mathematicians interested in applied topology.

Nonlinear Parameter Optimization Using R Tools

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Publisher : John Wiley & Sons
ISBN 13 : 1118569288
Total Pages : 303 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Nonlinear Parameter Optimization Using R Tools by : John C. Nash

Download or read book Nonlinear Parameter Optimization Using R Tools written by John C. Nash and published by John Wiley & Sons. This book was released on 2014-05-27 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non–linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: Provides a comprehensive treatment of optimization techniques Examines optimization problems that arise in statistics and how to solve them using R Enables researchers and practitioners to solve parameter determination problems Presents traditional methods as well as recent developments in R Is supported by an accompanying website featuring R code, examples and datasets Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.

Applications of Advanced Optimization Techniques in Industrial Engineering

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Publisher : CRC Press
ISBN 13 : 1000544869
Total Pages : 243 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Applications of Advanced Optimization Techniques in Industrial Engineering by : Abhinav Goel

Download or read book Applications of Advanced Optimization Techniques in Industrial Engineering written by Abhinav Goel and published by CRC Press. This book was released on 2022-03-09 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains. Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world. The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

Evolutionary Algorithms in Engineering Design Optimization

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Publisher : Mdpi AG
ISBN 13 : 9783036527147
Total Pages : 314 pages
Book Rating : 4.5/5 (271 download)

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Book Synopsis Evolutionary Algorithms in Engineering Design Optimization by : David Greiner

Download or read book Evolutionary Algorithms in Engineering Design Optimization written by David Greiner and published by Mdpi AG. This book was released on 2022-03-08 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms (EAs) are population-based global optimizers, which, due to their characteristics, have allowed us to solve, in a straightforward way, many real world optimization problems in the last three decades, particularly in engineering fields. Their main advantages are the following: they do not require any requisite to the objective/fitness evaluation function (continuity, derivability, convexity, etc.); they are not limited by the appearance of discrete and/or mixed variables or by the requirement of uncertainty quantification in the search. Moreover, they can deal with more than one objective function simultaneously through the use of evolutionary multi-objective optimization algorithms. This set of advantages, and the continuously increased computing capability of modern computers, has enhanced their application in research and industry. From the application point of view, in this Special Issue, all engineering fields are welcomed, such as aerospace and aeronautical, biomedical, civil, chemical and materials science, electronic and telecommunications, energy and electrical, manufacturing, logistics and transportation, mechanical, naval architecture, reliability, robotics, structural, etc. Within the EA field, the integration of innovative and improvement aspects in the algorithms for solving real world engineering design problems, in the abovementioned application fields, are welcomed and encouraged, such as the following: parallel EAs, surrogate modelling, hybridization with other optimization techniques, multi-objective and many-objective optimization, etc.

Information Processing with Evolutionary Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281172
Total Pages : 340 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Information Processing with Evolutionary Algorithms by : Manuel Grana

Download or read book Information Processing with Evolutionary Algorithms written by Manuel Grana and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a broad sample of current information processing applications Includes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems