O'Reilly Media, 2015. — 278 p. — 2nd ed. — ISBN: 1491900547, 9781491900543Because performance is paramount today, this thoroughly updated …
Major enterprises and small start-ups are beginning to embrace cloud computing for the scalability and reliability that cloud vendors can …
Cloud Capacity Management helps readers in understanding what the cloud, IaaS, PaaS, SaaS are, how they relate to capacity planning …
This textbook presents worked-out exercises on game theory with detailed step-by-step explanations. While most textbooks on game theory focus on …
This title provides a comprehensive survey over the subject of probabilistic combinatorial optimization, discussing probabilistic versions of some of the …
This book provides a good opportunity for computer science practitioners and researchers to get in sync with the current state-of-the-art …
The editors and authors dedicate this book to Bernhard Korte on the occasion of his seventieth birthday. We, the editors, …
This is the first book devoted entirely to Differential Evolution (DE) for global permutative-based combinatorial optimization.Since its original development, DE …
At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise …
Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system …
This book is a new edition of the authors previous book entitled Direct Methods in the Calculus of Variations, 1989. …
This book addresses fundamental questions related to lower semicontinuity and relaxation of functionals within the unconstrained setting, mainly in L^p …
These lecture notes describe a new development in the calculus of variations called Aubry-Mather-Theory. The starting point for the theoretical …
Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science …
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring …
Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the …
It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique …
This book describes the theory, operation, and application of genetic algorithms-search algorithms based on the mechanics of natural selection and …
Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as …
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and …
Since the early 1990s, genetic programming (GP)-a discipline whose goal is to enable the automatic generation of computer programs-has emerged …
I have no idea how this is marketed as a college level text on the subject. It is just a …
Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic …
the relationship of the stucture of genetic algorithm and its convergencrs
Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, …
This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary …
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on …
Gain insight into the world of nature-inspired optimization techniques and algorithms. This book will prepare you to apply different nature-inspired …
The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization …
This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the …
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their …
This book presents a wide range of optimization methods and their applications to various electrical power system problems such as …
