Differential Evolution A Handbook For Global Permutation Based Combinatorial Optimization

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

Author : Godfrey C. Onwubolu,Donald Davendra
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 40,5 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.

Handbook of Optimization

Author : Ivan Zelinka,Vaclav Snasael,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 1088 pages
File Size : 53,7 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.

Smart Computer Vision

Author : B. Vinoth Kumar,P. Sivakumar,B. Surendiran,Junhua Ding
Publisher : Springer Nature
Page : 359 pages
File Size : 49,7 Mb
Release : 2023-02-27
Category : Technology & Engineering
ISBN : 9783031205415

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Smart Computer Vision by B. Vinoth Kumar,P. Sivakumar,B. Surendiran,Junhua Ding Pdf

This book addresses and disseminates research and development in the applications of intelligent techniques for computer vision, the field that works on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers grasp the essence of the recent advances in this complex field. The audience includes researchers, professionals, practitioners, and students from academia and industry who work in this interdisciplinary field. The authors aim to inspire future research both from theoretical and practical viewpoints to spur further advances in the field.

Nature-Inspired Computing Design, Development, and Applications

Author : Nunes de Castro, Leandro
Publisher : IGI Global
Page : 435 pages
File Size : 49,8 Mb
Release : 2012-05-31
Category : Medical
ISBN : 9781466615755

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Nature-Inspired Computing Design, Development, and Applications by Nunes de Castro, Leandro Pdf

The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of natural computing with emphasis on its main branches.

Optimization and Applications

Author : Milojica Jaćimović,Michael Khachay,Vlasta Malkova,Mikhail Posypkin
Publisher : Springer Nature
Page : 515 pages
File Size : 43,6 Mb
Release : 2020-01-08
Category : Computers
ISBN : 9783030386030

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Optimization and Applications by Milojica Jaćimović,Michael Khachay,Vlasta Malkova,Mikhail Posypkin Pdf

This book constitutes the refereed proceedings of the 10th International Conference on Optimization and Applications, OPTIMA 2019, held in Petrovac, Montenegro, in September-October 2019. The 35 revised full papers presented were carefully reviewed and selected from 117 submissions. The papers cover such topics as optimization, operations research, optimal control, game theory, and their numerous applications in practical problems of operations research, data analysis, and software development.

Computational Collective Intelligence

Author : Ngoc Thanh Nguyen,Elias Pimenidis,Zaheer Khan,Bogdan Trawiński
Publisher : Springer
Page : 536 pages
File Size : 45,9 Mb
Release : 2018-08-27
Category : Computers
ISBN : 9783319984469

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Computational Collective Intelligence by Ngoc Thanh Nguyen,Elias Pimenidis,Zaheer Khan,Bogdan Trawiński Pdf

This two-volume set (LNAI 11055 and LNAI 11056) constitutes the refereed proceedings of the 10th International Conference on Collective Intelligence, ICCCI 2018, held in Bristol, UK, in September 2018 The 98 full papers presented were carefully reviewed and selected from 240 submissions. The conference focuses on knowledge engineering and semantic web, social network analysis, recommendation methods and recommender systems, agents and multi-agent systems, text processing and information retrieval, data mining methods and applications, decision support and control systems, sensor networks and internet of things, as well as computer vision techniques.

Parallel Problem Solving from Nature -- PPSN XIII

Author : Thomas Bartz-Beielstein,Juergen Branke,Bogdan Filipič,James Smith
Publisher : Springer
Page : 977 pages
File Size : 53,7 Mb
Release : 2014-09-11
Category : Computers
ISBN : 9783319107622

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Parallel Problem Solving from Nature -- PPSN XIII by Thomas Bartz-Beielstein,Juergen Branke,Bogdan Filipič,James Smith Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014. The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

Differential Evolution in Electromagnetics

Author : Anyong Qing,Ching Kwang Lee
Publisher : Springer Science & Business Media
Page : 225 pages
File Size : 42,9 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.

Simulated Evolution and Learning

Author : Yuhui Shi,Kay Chen Tan,Mengjie Zhang,Ke Tang,Xiaodong Li,Qingfu Zhang,Ying Tan,Martin Middendorf,Yaochu Jin
Publisher : Springer
Page : 1041 pages
File Size : 40,6 Mb
Release : 2017-11-01
Category : Computers
ISBN : 9783319687599

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Simulated Evolution and Learning by Yuhui Shi,Kay Chen Tan,Mengjie Zhang,Ke Tang,Xiaodong Li,Qingfu Zhang,Ying Tan,Martin Middendorf,Yaochu Jin Pdf

This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

Bio-inspired Computing – Theories and Applications

Author : Maoguo Gong,Linqiang Pan,Tao Song,Gexiang Zhang
Publisher : Springer
Page : 540 pages
File Size : 42,7 Mb
Release : 2017-01-07
Category : Computers
ISBN : 9789811036149

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Bio-inspired Computing – Theories and Applications by Maoguo Gong,Linqiang Pan,Tao Song,Gexiang Zhang Pdf

The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.

Evolutionary Algorithms

Author : Alain Petrowski,Sana Ben-Hamida
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 40,8 Mb
Release : 2017-04-12
Category : Computers
ISBN : 9781119136385

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Evolutionary Algorithms by Alain Petrowski,Sana Ben-Hamida Pdf

Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.

GMDH-Methodology and Implementation in MATLAB

Author : Godfrey Onwubolu
Publisher : World Scientific
Page : 284 pages
File Size : 44,9 Mb
Release : 2016-06-14
Category : Computers
ISBN : 9781783266142

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GMDH-Methodology and Implementation in MATLAB by Godfrey Onwubolu Pdf

Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine. This is the first book to explore GMDH using MATLAB (matrix laboratory) language. Readers will learn how to implement GMDH in MATLAB as a method of dealing with big data analytics. Error-free source codes in MATLAB have been included in supplementary material (accessible online) to assist users in their understanding in GMDH and to make it easy for users to further develop variations of GMDH algorithms. Contents:Basic/Standard GMDH:Introduction (Godfrey C Onwubolu)GMDH Multilayered Algorithm (Godfrey C Onwubolu)GMDH Multilayered Algorithm in MATLAB (Mohammed Abdalla Ayoub Mohammed)Hybrid GMDH System:GMDH-Based Polynomial Neural Network Algorithm in MATLAB (Elaine Inácio Bueno, Iraci Martinez Pereira and Antonio Teixeira e Silva)Designing GMDH Model Using Modified Levenberg Marquardt Technique in Matlab (Maryam Pournasir Roudbaneh)Group Method of Data Handing Using Discrete Differential Evolution in Matlab (Donald Davendra, Godfrey Onwubolu and Ivan Zelinka) Readership: Professionals and students interested in data mining and analytics.

Genetic Programming

Author : Anna Isabel Esparcia-Alcazar,Aniko Ekart,Sara Silva,Stephen Dignum,A. Sima Uyar
Publisher : Springer
Page : 336 pages
File Size : 53,6 Mb
Release : 2010-04-03
Category : Computers
ISBN : 9783642121487

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Genetic Programming by Anna Isabel Esparcia-Alcazar,Aniko Ekart,Sara Silva,Stephen Dignum,A. Sima Uyar Pdf

Genetic Programming comprises of proceedings of the 12th European Conference on Genetic Programming, EuroGP 2010. Topics include novel models, performance enhancements, extensions of genetic programming, and various applications.

Cuckoo Search and Firefly Algorithm

Author : Xin-She Yang
Publisher : Springer
Page : 366 pages
File Size : 53,7 Mb
Release : 2013-10-31
Category : Technology & Engineering
ISBN : 9783319021416

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Cuckoo Search and Firefly Algorithm by Xin-She Yang Pdf

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others. This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

Self-Organizing Migrating Algorithm

Author : Donald Davendra,Ivan Zelinka
Publisher : Springer
Page : 289 pages
File Size : 55,7 Mb
Release : 2016-02-04
Category : Technology & Engineering
ISBN : 9783319281612

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Self-Organizing Migrating Algorithm by Donald Davendra,Ivan Zelinka Pdf

This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.