Differential Evolution

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Differential Evolution

Kenneth Price,Rainer M. Storn,Jouni A. Lampinen
Differential Evolution Book PDF

Author : Kenneth Price,Rainer M. Storn,Jouni A. Lampinen
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 43,9 Mb
Release : 2006-03-04
Category : Mathematics
ISBN : 9783540313069

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Differential Evolution by Kenneth Price,Rainer M. Storn,Jouni A. Lampinen Pdf

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.

Differential Evolution

Vitaliy Feoktistov
Differential Evolution Book PDF

Author : Vitaliy Feoktistov
Publisher : Springer Science & Business Media
Page : 201 pages
File Size : 41,5 Mb
Release : 2007-02-15
Category : Mathematics
ISBN : 9780387368962

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Differential Evolution by Vitaliy Feoktistov Pdf

Individuals and enterprises are looking for optimal solutions for the problems they face. Most problems can be expressed in mathematical terms, and so the methods of optimization render a significant aid. This book details the latest achievements in optimization. It offers comprehensive coverage on Differential Evolution, presenting revolutionary ideas in population-based optimization and shows the best known metaheuristics through the prism of Differential Evolution.

Adaptive Differential Evolution

Jingqiao Zhang,Arthur C. Sanderson
Adaptive Differential Evolution Book PDF

Author : Jingqiao Zhang,Arthur C. Sanderson
Publisher : Springer Science & Business Media
Page : 171 pages
File Size : 43,7 Mb
Release : 2009-07-09
Category : Mathematics
ISBN : 9783642015274

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Adaptive Differential Evolution by Jingqiao Zhang,Arthur C. Sanderson Pdf

The fundamental theme of this book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. The book offers real-world insights into a variety of large-scale complex industrial applications.

Differential Evolution: From Theory to Practice

B. Vinoth Kumar,Diego Oliva,P. N. Suganthan
Differential Evolution From Theory to Practice Book PDF

Author : B. Vinoth Kumar,Diego Oliva,P. N. Suganthan
Publisher : Springer Nature
Page : 389 pages
File Size : 45,7 Mb
Release : 2022-01-25
Category : Technology & Engineering
ISBN : 9789811680823

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Differential Evolution: From Theory to Practice by B. Vinoth Kumar,Diego Oliva,P. N. Suganthan Pdf

This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances, such as the development of adaptive, self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable, non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution, from theory to applications. This book comprises contributions which include theoretical developments in DE, performance comparisons of DE, hybrid DE approaches, parallel and distributed DE for multi-objective optimization, software implementations, and real-world applications. The book is useful for researchers, practitioners, and students in disciplines such as optimization, heuristics, operations research and natural computing.

Advances in Differential Evolution

Uday K. Chakraborty
Advances in Differential Evolution Book PDF

Author : Uday K. Chakraborty
Publisher : Springer Science & Business Media
Page : 343 pages
File Size : 43,9 Mb
Release : 2008-07-23
Category : Computers
ISBN : 9783540688273

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Advances in Differential Evolution by Uday K. Chakraborty Pdf

Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written by leading experts in the area. The first seven chapters focus on algorithm design, while the last seven describe real-world applications. Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. The role of self-adaptive control parameters in DE is investigated in Chapter 3. Chapters 4 and 5 address constrained optimization; the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions. A novel DE algorithm, based on the concept of "opposite" points, is the topic of Chapter 6. Chapter 7 provides a survey of multi-objective differential evolution algorithms. A review of the major application areas of differential evolution is presented in Chapter 8. Chapter 9 discusses the application of differential evolution in two important areas of applied electromagnetics. Chapters 10 and 11 focus on applications of hybrid DE algorithms to problems in power system optimization. Chapter 12 applies the DE algorithm to computer chess. The use of DE to solve a problem in bioprocess engineering is discussed in Chapter 13. Chapter 14 describes the application of hybrid differential evolution to a problem in control engineering.

Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization

Godfrey C. Onwubolu,Donald Davendra
Differential Evolution A Handbook for Global Permutation Based Combinatorial Optimization Book PDF

Author : Godfrey C. Onwubolu,Donald Davendra
Publisher : Springer
Page : 213 pages
File Size : 42,8 Mb
Release : 2008-12-23
Category : Technology & Engineering
ISBN : 9783540921516

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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization by Godfrey C. Onwubolu,Donald Davendra Pdf

What is combinatorial optimization? Traditionally, a problem is considered to be c- binatorial if its set of feasible solutions is both ?nite and discrete, i. e. , enumerable. For example, the traveling salesman problem asks in what order a salesman should visit the cities in his territory if he wants to minimize his total mileage (see Sect. 2. 2. 2). The traveling salesman problem’s feasible solutions - permutations of city labels - c- prise a ?nite, discrete set. By contrast, Differential Evolution was originally designed to optimize functions de?ned on real spaces. Unlike combinatorial problems, the set of feasible solutions for real parameter optimization is continuous. Although Differential Evolution operates internally with ?oating-point precision, it has been applied with success to many numerical optimization problems that have t- ditionally been classi?ed as combinatorial because their feasible sets are discrete. For example, the knapsack problem’s goal is to pack objects of differing weight and value so that the knapsack’s total weight is less than a given maximum and the value of the items inside is maximized (see Sect. 2. 2. 1). The set of feasible solutions - vectors whose components are nonnegative integers - is both numerical and discrete. To handle such problems while retaining full precision, Differential Evolution copies ?oating-point - lutions to a temporary vector that, prior to being evaluated, is truncated to the nearest feasible solution, e. g. , by rounding the temporary parameters to the nearest nonnegative integer.

Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization

Godfrey C. Onwubolu,Donald Davendra
Differential Evolution A Handbook for Global Permutation Based Combinatorial Optimization Book PDF

Author : Godfrey C. Onwubolu,Donald Davendra
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 54,6 Mb
Release : 2009-01-13
Category : Computers
ISBN : 9783540921509

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Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization by Godfrey C. Onwubolu,Donald Davendra Pdf

This is the first book devoted entirely to Differential Evolution (DE) for global permutative-based combinatorial optimization. Since its original development, DE has mainly been applied to solving problems characterized by continuous parameters. This means that only a subset of real-world problems could be solved by the original, classical DE algorithm. This book presents in detail the various permutative-based combinatorial DE formulations by their initiators in an easy-to-follow manner, through extensive illustrations and computer code. It is a valuable resource for professionals and students interested in DE in order to have full potentials of DE at their disposal as a proven optimizer. All source programs in C and Mathematica programming languages are downloadable from the website of Springer.

Evolutionary Multi-Criterion Optimization

Carlos A. Coello Coello
Evolutionary Multi Criterion Optimization Book PDF

Author : Carlos A. Coello Coello
Publisher : Springer Science & Business Media
Page : 927 pages
File Size : 40,5 Mb
Release : 2005-02-17
Category : Computers
ISBN : 9783540249832

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Evolutionary Multi-Criterion Optimization by Carlos A. Coello Coello Pdf

This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

Advances in Metaheuristics for Hard Optimization

Patrick Siarry,Zbigniew Michalewicz
Advances in Metaheuristics for Hard Optimization Book PDF

Author : Patrick Siarry,Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 481 pages
File Size : 45,9 Mb
Release : 2007-12-06
Category : Mathematics
ISBN : 9783540729600

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Advances in Metaheuristics for Hard Optimization by Patrick Siarry,Zbigniew Michalewicz Pdf

Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Differential Evolution in Electromagnetics

Anyong Qing,Ching Kwang Lee
Differential Evolution in Electromagnetics Book PDF

Author : Anyong Qing,Ching Kwang Lee
Publisher : Springer Science & Business Media
Page : 212 pages
File Size : 42,7 Mb
Release : 2010-05-28
Category : Technology & Engineering
ISBN : 9783642128691

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Differential Evolution in Electromagnetics by Anyong Qing,Ching Kwang Lee Pdf

Differential evolution has proven itself a very simple while very powerful stochastic global optimizer. It has been applied to solve problems in many scientific and engineering fields. This book focuses on applications of differential evolution in electromagnetics to showcase its achievement and capability in solving synthesis and design problems in electromagnetics.Topics covered in this book include:• A comprehensive up-to-date literature survey on differential evolution• A systematic description of differential evolution• A topical review on applications of differential evolution in electromagnetics• Five new application examplesThis book is ideal for electromagnetic researchers and people in differential evolution community. It is also a valuable reference book for researchers and students in the optimization or electrical and electronic engineering field. In addition, managers and engineers in relevant fields will find it a helpful introductory guide.

Handbook of Optimization

Ivan Zelinka,Vaclav Snasael,Ajith Abraham
Handbook of Optimization Book PDF

Author : Ivan Zelinka,Vaclav Snasael,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 1100 pages
File Size : 52,7 Mb
Release : 2012-09-26
Category : Technology & Engineering
ISBN : 9783642305047

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Handbook of Optimization by Ivan Zelinka,Vaclav Snasael,Ajith Abraham Pdf

Optimization problems were and still are the focus of mathematics from antiquity to the present. Since the beginning of our civilization, the human race has had to confront numerous technological challenges, such as finding the optimal solution of various problems including control technologies, power sources construction, applications in economy, mechanical engineering and energy distribution amongst others. These examples encompass both ancient as well as modern technologies like the first electrical energy distribution network in USA etc. Some of the key principles formulated in the middle ages were done by Johannes Kepler (Problem of the wine barrels), Johan Bernoulli (brachystochrone problem), Leonhard Euler (Calculus of Variations), Lagrange (Principle multipliers), that were formulated primarily in the ancient world and are of a geometric nature. In the beginning of the modern era, works of L.V. Kantorovich and G.B. Dantzig (so-called linear programming) can be considered amongst others. This book discusses a wide spectrum of optimization methods from classical to modern, alike heuristics. Novel as well as classical techniques is also discussed in this book, including its mutual intersection. Together with many interesting chapters, a reader will also encounter various methods used for proposed optimization approaches, such as game theory and evolutionary algorithms or modelling of evolutionary algorithm dynamics like complex networks.

Metaheuristic Clustering

Swagatam Das,Ajith Abraham,Amit Konar
Metaheuristic Clustering Book PDF

Author : Swagatam Das,Ajith Abraham,Amit Konar
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 51,8 Mb
Release : 2009-03-24
Category : Computers
ISBN : 9783540921721

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Metaheuristic Clustering by Swagatam Das,Ajith Abraham,Amit Konar Pdf

Cluster analysis means the organization of an unlabeled collection of objects or patterns into separate groups based on their similarity. The task of computerized data clustering has been approached from diverse domains of knowledge like graph theory, multivariate analysis, neural networks, fuzzy set theory, and so on. Clustering is often described as an unsupervised learning method but most of the traditional algorithms require a prior specification of the number of clusters in the data for guiding the partitioning process, thus making it not completely unsupervised. Modern data mining tools that predict future trends and behaviors for allowing businesses to make proactive and knowledge-driven decisions, demand fast and fully automatic clustering of very large datasets with minimal or no user intervention. In this volume, we formulate clustering as an optimization problem, where the best partitioning of a given dataset is achieved by minimizing/maximizing one (single-objective clustering) or more (multi-objective clustering) objective functions. Using several real world applications, we illustrate the performance of several metaheuristics, particularly the Differential Evolution algorithm when applied to both single and multi-objective clustering problems, where the number of clusters is not known beforehand and must be determined on the run. This volume comprises of 7 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of optimization techniques and data mining will find the comprehensive coverage of this book invaluable.

Evolutionary Multi-Criterion Optimization

Shigeru Obayashi
Evolutionary Multi Criterion Optimization Book PDF

Author : Shigeru Obayashi
Publisher : Springer Science & Business Media
Page : 972 pages
File Size : 53,6 Mb
Release : 2007-02-12
Category : Computers
ISBN : 9783540709275

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Evolutionary Multi-Criterion Optimization by Shigeru Obayashi Pdf

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.

Artificial Evolution

Jin-Kao Hao,Pierrick Legrand,Pierre Collet,Nicolas Monmarché,Evelyne Lutton,Marc Schoenauer
Artificial Evolution Book PDF

Author : Jin-Kao Hao,Pierrick Legrand,Pierre Collet,Nicolas Monmarché,Evelyne Lutton,Marc Schoenauer
Publisher : Springer
Page : 229 pages
File Size : 45,8 Mb
Release : 2012-11-28
Category : Computers
ISBN : 9783642355332

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Artificial Evolution by Jin-Kao Hao,Pierrick Legrand,Pierre Collet,Nicolas Monmarché,Evelyne Lutton,Marc Schoenauer Pdf

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.

Search and Optimization by Metaheuristics

Ke-Lin Du,M. N. S. Swamy
Search and Optimization by Metaheuristics Book PDF

Author : Ke-Lin Du,M. N. S. Swamy
Publisher : Birkhäuser
Page : 434 pages
File Size : 42,9 Mb
Release : 2016-07-20
Category : Computers
ISBN : 9783319411927

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Search and Optimization by Metaheuristics by Ke-Lin Du,M. N. S. Swamy Pdf

This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphasize non-standard optimization problems and utilize a natural approach to the topic, moving from basic notions to more complex ones. An introductory chapter covers the necessary biological and mathematical backgrounds for understanding the main material. Subsequent chapters then explore almost all of the major metaheuristics for search and optimization created based on natural phenomena, including simulated annealing, recurrent neural networks, genetic algorithms and genetic programming, differential evolution, memetic algorithms, particle swarm optimization, artificial immune systems, ant colony optimization, tabu search and scatter search, bee and bacteria foraging algorithms, harmony search, biomolecular computing, quantum computing, and many others. General topics on dynamic, multimodal, constrained, and multiobjective optimizations are also described. Each chapter includes detailed flowcharts that illustrate specific algorithms and exercises that reinforce important topics. Introduced in the appendix are some benchmarks for the evaluation of metaheuristics. Search and Optimization by Metaheuristics is intended primarily as a textbook for graduate and advanced undergraduate students specializing in engineering and computer science. It will also serve as a valuable resource for scientists and researchers working in these areas, as well as those who are interested in search and optimization methods.