Differential Evolution From Theory To Practice

Author : B. Vinoth Kumar,Diego Oliva,P. N. Suganthan
Publisher : Unknown
Page : 0 pages
File Size : 43,7 Mb
Release : 2022
Category : Electronic
ISBN : 9811680833

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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.

Author : B. Vinoth Kumar,Diego Oliva,P. N. Suganthan
Publisher : Springer Nature
Page : 389 pages
File Size : 50,5 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.

Author : Vitaliy Feoktistov
Publisher : Springer Science & Business Media
Page : 201 pages
File Size : 48,7 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.

Author : Kenneth Price,Rainer M. Storn,Jouni A. Lampinen
Publisher : Springer Science & Business Media
Page : 544 pages
File Size : 51,9 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.

Author : Thu Bui, Lam,Alam, Sameer
Publisher : IGI Global
Page : 496 pages
File Size : 53,6 Mb
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 9781599045009

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Multi-Objective Optimization in Computational Intelligence: Theory and Practice by Thu Bui, Lam,Alam, Sameer Pdf

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

Author : Salem Benferhat,Karim Tabia,Moonis Ali
Publisher : Springer
Page : 642 pages
File Size : 40,8 Mb
Release : 2017-06-10
Category : Computers
ISBN : 9783319600420

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Advances in Artificial Intelligence: From Theory to Practice by Salem Benferhat,Karim Tabia,Moonis Ali Pdf

The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.

Author : Swagatam Das
Publisher : Springer Nature
Page : 517 pages
File Size : 40,8 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9789819995318

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Advances in Data-Driven Computing and Intelligent Systems by Swagatam Das Pdf

Author : Jingqiao Zhang,Arthur C. Sanderson
Publisher : Springer Science & Business Media
Page : 171 pages
File Size : 54,6 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.

Author : Uday K. Chakraborty
Publisher : Springer
Page : 339 pages
File Size : 43,9 Mb
Release : 2008-09-08
Category : Computers
ISBN : 9783540688303

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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.

Author : Anyong Qing
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 46,6 Mb
Release : 2009-07-23
Category : Computers
ISBN : 0470823933

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Differential Evolution by Anyong Qing Pdf

Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. In Differential Evolution , Dr. Qing begins with an overview of optimization, followed by a state-of-the-art review of differential evolution, including its fundamentals and up-to-date advances. He goes on to explore the relationship between differential evolution strategies, intrinsic control parameters, non-intrinsic control parameters, and problem features through a parametric study. Findings and recommendations on the selection of strategies and intrinsic control parameter values are presented. Lastly, after an introductory review of reported applications in electrical and electronic engineering fields, different research groups demonstrate how the methods can be applied to such areas as: multicast routing, multisite mapping in grid environments, antenna arrays, analog electric circuit sizing, electricity markets, stochastic tracking in video sequences, and color quantization. Contains a systematic and comprehensive overview of differential evolution Reviews the latest differential evolution research Describes a comprehensive parametric study conducted over a large test bed Shows how methods can be practically applied to mobile communications grid computing circuits image processing power engineering Sample applications demonstrated by research groups in the United Kingdom, Australia, Italy, Turkey, China, and Eastern Europe Provides access to companion website with code examples for download Differential Evolution is ideal for application engineers, who can use the methods described to solve specific engineering problems. It is also a valuable reference for post-graduates and researchers working in evolutionary computation, design optimization and artificial intelligence. Researchers in the optimization field or engineers and managers involved in operations research will also find the book a helpful introduction to the topic.

Author : Anyong Qing,Ching Kwang Lee
Publisher : Springer Science & Business Media
Page : 212 pages
File Size : 48,7 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.

Author : Rick Riolo,Trent McConaghy,Ekaterina Vladislavleva
Publisher : Springer Science & Business Media
Page : 248 pages
File Size : 43,8 Mb
Release : 2010-10-20
Category : Computers
ISBN : 9781441977472

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Genetic Programming Theory and Practice VIII by Rick Riolo,Trent McConaghy,Ekaterina Vladislavleva Pdf

The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application. Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP, Abstract Expression Grammar Symbolic Regression, Age-Fitness Pareto Optimization, Scalable Symbolic Regression by Continuous Evolution, Symbolic Density Models, GP Transforms in Linear Regression Situations, Protein Interactions in a Computational Evolution System, Composition of Music and Financial Strategies via GP, and Evolutionary Art Using Summed Multi-Objective Ranks. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results in GP .

Author : Agoston E. Eiben,J.E. Smith
Publisher : Springer Science & Business Media
Page : 307 pages
File Size : 46,5 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662050941

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Introduction to Evolutionary Computing by Agoston E. Eiben,J.E. Smith Pdf

The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.

Author : Zhen-Yu Yin,Yin-Fu Jin
Publisher : Springer
Page : 356 pages
File Size : 45,8 Mb
Release : 2019-04-25
Category : Science
ISBN : 9789811334085

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Practice of Optimisation Theory in Geotechnical Engineering by Zhen-Yu Yin,Yin-Fu Jin Pdf

This book presents the development of an optimization platform for geotechnical engineering, which is one of the key components in smart geotechnics. The book discusses the fundamentals of the optimization algorithm with constitutive models of soils. Helping readers easily understand the optimization algorithm applied in geotechnical engineering, this book first introduces the methodology of the optimization-based parameter identification, and then elaborates the principle of three newly developed efficient optimization algorithms, followed by the ideas of a variety of laboratory tests and formulations of constitutive models. Moving on to the application of optimization methods in geotechnical engineering, this book presents an optimization-based parameter identification platform with a practical and concise interface based on the above theories. The book is intended for undergraduate and graduate-level teaching in soil mechanics and geotechnical engineering and other related engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

Author : Hoang Nguyen,Xuan Nam Bui,Yosoon Choi,Wengang Zhang,Jian Zhou,Erkan Topal
Publisher : Elsevier
Page : 498 pages
File Size : 41,8 Mb
Release : 2023-11-20
Category : Science
ISBN : 9780443187650

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Applications of Artificial Intelligence in Mining and Geotechnical Engineering by Hoang Nguyen,Xuan Nam Bui,Yosoon Choi,Wengang Zhang,Jian Zhou,Erkan Topal Pdf

Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering provides recent advances in mining, geotechnical and geoengineering, as well as applications of artificial intelligence in these areas. It serves as the first book on applications of artificial intelligence in mining, geotechnical and geoengineering, providing an opportunity for researchers, scholars, engineers, practitioners and data scientists from all over the world to understand current developments and applications. Topics covered include slopes, open-pit mines, quarries, shafts, tunnels, caverns, underground mines, metro systems, dams and hydro-electric stations, geothermal energy, petroleum engineering, and radioactive waste disposal. In the geotechnical and geoengineering aspects, topics of specific interest include, but are not limited to, foundation, dam, tunneling, geohazard, geoenvironmental and petroleum engineering, rock mechanics, geotechnical engineering, soil mechanics and foundation engineering, civil engineering, hydraulic engineering, petroleum engineering, engineering geology, etc. Guides readers through the process of gathering, processing, and analyzing datasets specifically tailored for mining, geotechnical, and engineering challenges. Examines the evolution and practical implementation of artificial intelligence models in predicting, forecasting, and optimizing solutions for mining, geotechnical, and engineering problems. Offers cutting-edge methodologies to address the most demanding and complex issues encountered in the fields of mining, geotechnical studies, and engineering.