Derivative-Free and Blackbox Optimization PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Derivative-Free and Blackbox Optimization PDF full book. Access full book title Derivative-Free and Blackbox Optimization by Charles Audet. Download full books in PDF and EPUB format.
Author: Charles Audet
Publisher: Springer
ISBN: 3319689134
Category : Mathematics
Languages : en
Pages : 307
Get Book Here
Book Description
This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization. End of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix.
Author: Charles Audet
Publisher: Springer
ISBN: 3319689134
Category : Mathematics
Languages : en
Pages : 307
Get Book Here
Book Description
This book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. The book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization. End of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix.
Author: Yossi Borenstein
Publisher: Springer Science & Business Media
ISBN: 3642332064
Category : Computers
Languages : en
Pages : 287
Get Book Here
Book Description
Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial and error. Ideally, theoretical studies should explain when and why metaheuristics work, but the challenge is huge: mathematical analysis requires significant effort even for simple scenarios and real-life problems are usually quite complex. In this book the editors establish a bridge between theory and practice, presenting principled methods that incorporate problem knowledge in evolutionary algorithms and other metaheuristics. The book consists of 11 chapters dealing with the following topics: theoretical results that show what is not possible, an assessment of unsuccessful lines of empirical research; methods for rigorously defining the appropriate scope of problems while acknowledging the compromise between the class of problems to which a search algorithm is applied and its overall expected performance; the top-down principled design of search algorithms, in particular showing that it is possible to design algorithms that are provably good for some rigorously defined classes; and, finally, principled practice, that is reasoned and systematic approaches to setting up experiments, metaheuristic adaptation to specific problems, and setting parameters. With contributions by some of the leading researchers in this domain, this book will be of significant value to scientists, practitioners, and graduate students in the areas of evolutionary computing, metaheuristics, and computational intelligence.
Author: Bashir M. Al-Hashimi
Publisher: IET
ISBN: 0863415520
Category : Technology & Engineering
Languages : en
Pages : 940
Get Book Here
Book Description
This book highlights both the key achievements of electronic systems design targeting SoC implementation style, and the future challenges presented by the continuing scaling of CMOS technology.
Author: Ingo Wegener
Publisher: Springer Science & Business Media
ISBN: 3540274774
Category : Computers
Languages : en
Pages : 307
Get Book Here
Book Description
Reflects recent developments in its emphasis on randomized and approximation algorithms and communication models All topics are considered from an algorithmic point of view stressing the implications for algorithm design
Author: Juraj Hromkovič
Publisher: Springer Science & Business Media
ISBN: 3540748709
Category : Computers
Languages : en
Pages : 174
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 4th International Symposium on Stochastic Algorithms: Foundations and Applications, SAGA 2007. The nine revised full papers and five invited papers presented were carefully selected for inclusion in the book. The contributed papers included in this volume cover both theoretical as well as applied aspects of stochastic computations with a special focus on investigating the power of randomization in algorithmics.
Author: Alexander Kulikov
Publisher: Springer Science & Business Media
ISBN: 3642207111
Category : Computers
Languages : en
Pages : 480
Get Book Here
Book Description
This book constitutes the proceedings of the 6th International Computer Science Symposium in Russia, CSR 2011, held in St. Petersburg, Russia, in June 2011. The 29 papers presented were carefully reviewed and selected from 76 submissions. The scope of topics of the symposium was quite broad and covered basically all areas of the foundations of theoretical computer science.
Author: Nicolas Beldiceanu
Publisher: Springer
ISBN: 3642298281
Category : Computers
Languages : en
Pages : 420
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 9th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2012, held in Nantes, France, in May/June 2012. The 26 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers are focused on both theoretical and practical, application-oriented issues in combinatorial optimization and feature current research with a special focus on inference and relaxation methods, integration methods, modeling methods, innovative applications of CP/AI/OR techniques, and implementation of CP/AI/OR techniques and optimization systems.
Author: Benjamin Doerr
Publisher: Springer Nature
ISBN: 3030294145
Category : Computers
Languages : en
Pages : 527
Get Book Here
Book Description
This edited book reports on recent developments in the theory of evolutionary computation, or more generally the domain of randomized search heuristics. It starts with two chapters on mathematical methods that are often used in the analysis of randomized search heuristics, followed by three chapters on how to measure the complexity of a search heuristic: black-box complexity, a counterpart of classical complexity theory in black-box optimization; parameterized complexity, aimed at a more fine-grained view of the difficulty of problems; and the fixed-budget perspective, which answers the question of how good a solution will be after investing a certain computational budget. The book then describes theoretical results on three important questions in evolutionary computation: how to profit from changing the parameters during the run of an algorithm; how evolutionary algorithms cope with dynamically changing or stochastic environments; and how population diversity influences performance. Finally, the book looks at three algorithm classes that have only recently become the focus of theoretical work: estimation-of-distribution algorithms; artificial immune systems; and genetic programming. Throughout the book the contributing authors try to develop an understanding for how these methods work, and why they are so successful in many applications. The book will be useful for students and researchers in theoretical computer science and evolutionary computing.
Author: De-Shuang Huang
Publisher: Springer Nature
ISBN: 981975612X
Category :
Languages : en
Pages : 513
Get Book Here
Book Description
Author: Mustafa M. Matalgah
Publisher: John Wiley & Sons
ISBN: 1119984866
Category : Technology & Engineering
Languages : en
Pages : 196
Get Book Here
Book Description
Real-Time Ground-Based Flight Data and Cockpit Voice Recorder Unique text determining the feasibility for implementation and manufacture of ground-based black box systems Real-Time Ground-Based Flight Data and Cockpit Voice Recorder helps familiarize the reader with the nature of issues surrounding existing black box technology integrated on aircrafts and to understand the benefits and importance of proposed real-time ground-based alternative solutions. These are based on predicting aircraft problems while in flight, including understanding the feasibility of using the already existing space and ground-based wireless technologies infrastructures for this purpose. The authors discuss expense reductions in the crash investigation when implementing the new concepts in this book as compared to existing procedures when aircraft accidents occur. The text also opens new research ideas for future investigations. Simulation codes are included to allow for further independent exploration into the covered concepts and ideas. Topics covered in the book include: Satellite Data Transfer Implementation, including basics of the technology, channel data rate, PSTN-based satellite implementation, and expected availability of spectrum Very High Frequency Digital Link (VDL), including modes, sublayers, data transfer, packet and frame structure, and number of channels needed to support a certain number of airplanes Modern Airplane Communication Technologies (including direct air-to-ground communication using 5G) and terahertz band communications; and their integration into aviation communications Black box final architecture and connectivity, including ground and UAV connectivity, and general black box wireless communications challenges For aviation industrial engineers and technical staff, managers, and aerospace and academic researchers, Real-Time Ground-Based Flight Data and Cockpit Voice Recorder is a valuable guide to existing and future technology to successfully predict aircraft problems during flight.
