Derivative-Free and Blackbox Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Derivative-Free and Blackbox Optimization write by Charles Audet. This book was released on 2017-12-02. Derivative-Free and Blackbox Optimization available in PDF, EPUB and Kindle. 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.
Introduction to Derivative-Free Optimization
Introduction to Derivative-Free Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Derivative-Free Optimization write by Andrew R. Conn. This book was released on 2009-04-16. Introduction to Derivative-Free Optimization available in PDF, EPUB and Kindle. The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-free methods and how they are designed to solve optimization problems. It is designed to be readily accessible to both researchers and those with a modest background in computational mathematics.
Computational Optimization, Methods and Algorithms
Computational Optimization, Methods and Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Optimization, Methods and Algorithms write by Slawomir Koziel. This book was released on 2011-06-17. Computational Optimization, Methods and Algorithms available in PDF, EPUB and Kindle. Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.
Implicit Filtering
Implicit Filtering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Implicit Filtering write by C. T. Kelley. This book was released on 2011-09-29. Implicit Filtering available in PDF, EPUB and Kindle. A description of the implicit filtering algorithm, its convergence theory and a new MATLAB® implementation.
Review of the Book ``Derivative-Free and Blackbox Optimization'' by C. Audet and W. Hare, Springer Series in Operations Research and Financial Engineering, 2017, 302 Pages, DOI 10.1007/978-3-319-68913-5
Review of the Book ``Derivative-Free and Blackbox Optimization'' by C. Audet and W. Hare, Springer Series in Operations Research and Financial Engineering, 2017, 302 Pages, DOI 10.1007/978-3-319-68913-5 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Review of the Book ``Derivative-Free and Blackbox Optimization'' by C. Audet and W. Hare, Springer Series in Operations Research and Financial Engineering, 2017, 302 Pages, DOI 10.1007/978-3-319-68913-5 write by Michael Kokkolaras. This book was released on 2019. Review of the Book ``Derivative-Free and Blackbox Optimization'' by C. Audet and W. Hare, Springer Series in Operations Research and Financial Engineering, 2017, 302 Pages, DOI 10.1007/978-3-319-68913-5 available in PDF, EPUB and Kindle.
