Crossover For Single Objective Numerical Optimization Problems

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Crossover for single-objective numerical optimization problems

Author : Tomasz Dominik Gwiazda
Publisher : Tomasz Gwiazda
ISBN 13 : 8392395816
Total Pages : 408 pages
Book Rating : 4.3/5 (923 download)

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Book Synopsis Crossover for single-objective numerical optimization problems by : Tomasz Dominik Gwiazda

Download or read book Crossover for single-objective numerical optimization problems written by Tomasz Dominik Gwiazda and published by Tomasz Gwiazda. This book was released on 2006-04-12 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first of the series of reference books I am working on, with the aim to provide a possibly most comprehensive review of methods developed in the field of Genetic Algorithms. The necessity to concentrate on certain thematic areas is the result of the character of these books. The choice of those areas, even though performed arbitrarily will hopefully reflect their degree of importance and popularity. Hence, in this book which begins the whole series, an operator of the greatest importance for Genetic Algorithms will be presented i.e. crossover operator and its area of application will be single objective numerical optimization problems. This edition contains descriptions of 11 standard, 66 binary coded, and 89 real coded crossover operators; 182 algorithms in a form of pseudo code; and 453 active URLs pointing to sites with referenced papers. My Internet page (www.tomaszgwiazda.pl) offers the first 40 pages of this book. You can also find a review written for Polish edition of my work.

Genetic Algorithms Reference Volume 2 Mutation Operator for Numerical Optimization Problems

Author : Tomasz Dominik Gwiazda
Publisher :
ISBN 13 : 9788392395843
Total Pages : 300 pages
Book Rating : 4.3/5 (958 download)

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Book Synopsis Genetic Algorithms Reference Volume 2 Mutation Operator for Numerical Optimization Problems by : Tomasz Dominik Gwiazda

Download or read book Genetic Algorithms Reference Volume 2 Mutation Operator for Numerical Optimization Problems written by Tomasz Dominik Gwiazda and published by . This book was released on 2007-07-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is the first of a series of reference books aimed at providing a most comprehensive review of methods developed in the field of Genetic Algorithms. This edition contains descriptions of 11 standard, 66 binary coded, and 89 real coded crossover operators; 182 algorithms in a form of pseudo code; and 453 active URLs pointing to sites with referenced papers." -- BOOK PUBLISHER WEBSITE.

Controller Tuning with Evolutionary Multiobjective Optimization

Author : Gilberto Reynoso Meza
Publisher : Springer
ISBN 13 : 3319413015
Total Pages : 228 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Controller Tuning with Evolutionary Multiobjective Optimization by : Gilberto Reynoso Meza

Download or read book Controller Tuning with Evolutionary Multiobjective Optimization written by Gilberto Reynoso Meza and published by Springer. This book was released on 2016-11-04 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.

Evolutionary Multi-Criterion Optimization

Author : Carlos M. Fonseca
Publisher : Springer Science & Business Media
ISBN 13 : 3540018697
Total Pages : 825 pages
Book Rating : 4.5/5 (4 download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Carlos M. Fonseca

Download or read book Evolutionary Multi-Criterion Optimization written by Carlos M. Fonseca and published by Springer Science & Business Media. This book was released on 2003-04-07 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, EMO 2003, held in Faro, Portugal, in April 2003. The 56 revised full papers presented were carefully reviewed and selected from a total of 100 submissions. The papers are organized in topical sections on objective handling and problem decomposition, algorithm improvements, online adaptation, problem construction, performance analysis and comparison, alternative methods, implementation, and applications.

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Author : Ali Mohamed
Publisher : Springer Nature
ISBN 13 : 3031075129
Total Pages : 282 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by : Ali Mohamed

Download or read book Handbook of Nature-Inspired Optimization Algorithms: The State of the Art written by Ali Mohamed and published by Springer Nature. This book was released on 2022-08-31 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Intelligent Beam Control in Accelerators

Author : Zheqiao Geng
Publisher : Springer Nature
ISBN 13 : 3031285972
Total Pages : 164 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Intelligent Beam Control in Accelerators by : Zheqiao Geng

Download or read book Intelligent Beam Control in Accelerators written by Zheqiao Geng and published by Springer Nature. This book was released on 2023-05-11 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically discusses the algorithms and principles for achieving stable and optimal beam (or products of the beam) parameters in particle accelerators. A four-layer beam control strategy is introduced to structure the subsystems related to beam controls, such as beam device control, beam feedback, and beam optimization. This book focuses on the global control and optimization layers. As a basis of global control, the beam feedback system regulates the beam parameters against disturbances and stabilizes them around the setpoints. The global optimization algorithms, such as the robust conjugate direction search algorithm, genetic algorithm, and particle swarm optimization algorithm, are at the top layer, determining the feedback setpoints for optimal beam qualities. In addition, the authors also introduce the applications of machine learning for beam controls. Selected machine learning algorithms, such as supervised learning based on artificial neural networks and Gaussian processes, and reinforcement learning, are discussed. They are applied to configure feedback loops, accelerate global optimizations, and directly synthesize optimal controllers. Authors also demonstrate the effectiveness of these algorithms using either simulation or tests at the SwissFEL. With this book, the readers gain systematic knowledge of intelligent beam controls and learn the layered architecture guiding the design of practical beam control systems.

Contemporary Computing

Author : Srinivas Aluru
Publisher : Springer Science & Business Media
ISBN 13 : 3642226051
Total Pages : 580 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Contemporary Computing by : Srinivas Aluru

Download or read book Contemporary Computing written by Srinivas Aluru and published by Springer Science & Business Media. This book was released on 2011-07-06 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Fourth International Conference on Contemporary Computing, IC3 2010, held in Noida, India, in August 2011. The 58 revised full papers presented were carefully reviewed and selected from 175 submissions.

Vehicle Steer-by-Wire System and Chassis Integration

Author : Wanzhong Zhao
Publisher : Springer Nature
ISBN 13 : 9811942501
Total Pages : 455 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Vehicle Steer-by-Wire System and Chassis Integration by : Wanzhong Zhao

Download or read book Vehicle Steer-by-Wire System and Chassis Integration written by Wanzhong Zhao and published by Springer Nature. This book was released on 2022-09-24 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the control-by-wire system, particularly the steer-by-wire system, as well as its control and optimization issues in chassis integration. The steering stability of the vehicle, handling portability, and overall performance of the chassis system are improved by steer-by-wire technology, which includes stability control, road-feeling control, decoupling control, force and displacement coordinated control, and chassis integration optimization. Furthermore, intelligent control goals such as active collision avoidance and active rollover prevention of the vehicle are realized, and the active safety of the vehicle is increased, due to the integrated control of the steer-by-wire system and chassis system. In this book, different types of steer-by-wire systems are introduced, as well as thorough force and displacement control strategies and their implementation in chassis integrated control, ensuring the intelligent and unmanned driving's control reaction speed and precision.

Nature-Inspired Algorithms

Author : Krishn Kumar Mishra
Publisher : CRC Press
ISBN 13 : 1000637638
Total Pages : 334 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Nature-Inspired Algorithms by : Krishn Kumar Mishra

Download or read book Nature-Inspired Algorithms written by Krishn Kumar Mishra and published by CRC Press. This book was released on 2022-10-17 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference text discusses nature inspired algorithms and their applications. It presents the methodology to write new algorithms with the help of MATLAB programs and instructions for better understanding of concepts. It covers well-known algorithms including evolutionary algorithms, genetic algorithm, particle Swarm optimization and differential evolution, and recent approached including gray wolf optimization. A separate chapter discusses test case generation using techniques such as particle swarm optimization, genetic algorithm, and differential evolution algorithm. The book- Discusses in detail various nature inspired algorithms and their applications Provides MATLAB programs for the corresponding algorithm Presents methodology to write new algorithms Examines well-known algorithms like the genetic algorithm, particle swarm optimization and differential evolution, and recent approaches like gray wolf optimization. Provides conceptual linking of algorithms with theoretical concepts The text will be useful for graduate students in the field of electrical engineering, electronics engineering, computer science and engineering. Discussing nature inspired algorithms and their applications in a single volume, this text will be useful as a reference text for graduate students in the field of electrical engineering, electronics engineering, computer science and engineering. It discusses important algorithms including deterministic algorithms, randomized algorithms, evolutionary algorithms, particle swarm optimization, big bang big crunch (BB-BC) algorithm, genetic algorithm and grey wolf optimization algorithm. "

Modeling, Simulation and Optimization for Science and Technology

Author : William Fitzgibbon
Publisher : Springer
ISBN 13 : 940179054X
Total Pages : 252 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Modeling, Simulation and Optimization for Science and Technology by : William Fitzgibbon

Download or read book Modeling, Simulation and Optimization for Science and Technology written by William Fitzgibbon and published by Springer. This book was released on 2014-06-18 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problems with multiple criteria; four articles are on numerical methods for applied problems modeled with nonlinear PDEs; two contributions are on abstract estimates for error analysis; finally one paper deals with rare events in the context of uncertainty quantification. Applications include aerospace, glaciology and nonlinear elasticity. Herein is a selection of contributions from speakers at two conferences on applied mathematics held in June 2012 at the University of Jyväskylä, Finland. The first conference, “Optimization and PDEs with Industrial Applications” celebrated the seventieth birthday of Professor Jacques Périaux of the University of Jyväskylä and Polytechnic University of Catalonia (Barcelona Tech) and the second conference, “Optimization and PDEs with Applications” celebrated the seventy-fifth birthday of Professor Roland Glowinski of the University of Houston. This work should be of interest to researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics.

Evolving Software Systems

Author : Tom Mens
Publisher : Springer Science & Business Media
ISBN 13 : 3642453988
Total Pages : 418 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Evolving Software Systems by : Tom Mens

Download or read book Evolving Software Systems written by Tom Mens and published by Springer Science & Business Media. This book was released on 2014-01-08 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last few years, software evolution research has explored new domains such as the study of socio-technical aspects and collaboration between different individuals contributing to a software system, the use of search-based techniques and meta-heuristics, the mining of unstructured software repositories, the evolution of software requirements, and the dynamic adaptation of software systems at runtime. Also more and more attention is being paid to the evolution of collections of inter-related and inter-dependent software projects, be it in the form of web systems, software product families, software ecosystems or systems of systems. With this book, the editors present insightful contributions on these and other domains currently being intensively explored, written by renowned researchers in the respective fields of software evolution. Each chapter presents the state of the art in a particular topic, as well as the current research, available tool support and remaining challenges. The book is complemented by a glossary of important terms used in the community, a reference list of nearly 1,000 papers and books and tips on additional resources that may be useful to the reader (reference books, journals, standards and major scientific events in the domain of software evolution and datasets). This book is intended for all those interested in software engineering, and more particularly, software maintenance and evolution. Researchers and software practitioners alike will find in the contributed chapters an overview of the most recent findings, covering a broad spectrum of software evolution topics. In addition, it can also serve as the basis of graduate or postgraduate courses on e.g., software evolution, requirements engineering, model-driven software development or social informatics.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV

Author : Michael Emmerich
Publisher : Springer Science & Business Media
ISBN 13 : 3319011286
Total Pages : 323 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV by : Michael Emmerich

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV written by Michael Emmerich and published by Springer Science & Business Media. This book was released on 2013-06-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines. These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.

Simulated Evolution and Learning

Author : Tzai-Der Wang
Publisher : Springer
ISBN 13 : 3540473327
Total Pages : 960 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Simulated Evolution and Learning by : Tzai-Der Wang

Download or read book Simulated Evolution and Learning written by Tzai-Der Wang and published by Springer. This book was released on 2006-10-12 with total page 960 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006. The 117 revised full papers presented were carefully reviewed and selected from 420 submissions.

Smart Innovations in Communication and Computational Sciences

Author : Bijaya Ketan Panigrahi
Publisher : Springer
ISBN 13 : 981108968X
Total Pages : 487 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Smart Innovations in Communication and Computational Sciences by : Bijaya Ketan Panigrahi

Download or read book Smart Innovations in Communication and Computational Sciences written by Bijaya Ketan Panigrahi and published by Springer. This book was released on 2018-06-18 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides insights into International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS 2017) held at North West Group of Institutions, Punjab, India. It presents new advances and research results in the fields of computer and communication written by leading researchers, engineers and scientists in the domain of interest from around the world. The book includes research work in all the areas of smart innovation, systems and technologies, embedded knowledge and intelligence, innovation and sustainability, advance computing, networking and informatics. It also focuses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduce a need for a synergy of disciplines from science and technology. Sample areas include, but are not limited to smart hardware, software design, smart computing technologies, intelligent communications and networking, web and informatics and computational sciences.

Soft Computing for Problem Solving

Author : Jagdish Chand Bansal
Publisher : Springer
ISBN 13 : 9811315957
Total Pages : 974 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Soft Computing for Problem Solving by : Jagdish Chand Bansal

Download or read book Soft Computing for Problem Solving written by Jagdish Chand Bansal and published by Springer. This book was released on 2018-10-30 with total page 974 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Author : Tran Khanh Dang
Publisher : Springer Nature
ISBN 13 : 9813343702
Total Pages : 499 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications by : Tran Khanh Dang

Download or read book Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications written by Tran Khanh Dang and published by Springer Nature. This book was released on 2020-11-19 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.* The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering. * The conference was held virtually due to the COVID-19 pandemic.

Genetic Algorithm Essentials

Author : Oliver Kramer
Publisher : Springer
ISBN 13 : 331952156X
Total Pages : 94 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Genetic Algorithm Essentials by : Oliver Kramer

Download or read book Genetic Algorithm Essentials written by Oliver Kramer and published by Springer. This book was released on 2017-01-07 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.