With the recent advancements in machine learning (ML) and deep learning (DL), ML/DL techniques are being widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. Various optimization techniques ha...Loe edasi...
The text introduces students to numerous methods in solving a variety of Optimization problems. Also, the narrow focus of most math textbooks is completely dedicated to nonlinear programming, linear programming, combinatorial or convex optimization....Loe edasi...
This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear/non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous th...Loe edasi...
This book is an approachable guide for students and professionals to learn parametric modeling through the lens of architectonics, allowing readers to pair fundamental ideas about architecture with parametric thinking....Loe edasi...
This text covers the latest machining processes using evolutionary optimization and comparative analysis with conventional optimization techniques. It will an ideal reference text for graduate students and academic researchers working in diverse eng...Loe edasi...
This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formul...Loe edasi...
Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter mach...Loe edasi...
The book is a valuable compendium comprising several optimization applications-based case studies. Chapters are written in a reader-friendly manner; theoretical concepts with applications have also been discussed....Loe edasi...
This book provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural and physics-based methods or algorithms; their testing and validation, along with det...Loe edasi...
The high demand in science and engineering communities requires more efficient and intelligent solutions to complex optimization problems dealing with a wide variety of real-world problems. This book introduces an effective method of optimization kn...Loe edasi...
Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It inclu...Loe edasi...
This book reflects the tremendous growth in the field over the past two decades. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, a...Loe edasi...
Using a wide range of OR optimization examples, this book demonstrates how the OR procedures in SAS work. The text is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, proj...Loe edasi...
This book present methodologies for solving optimization problems in the area of process design, using the simulator Aspen Plus as the solver of the model, linked with stochastic optimization techniques formulated in Excel or MATLAB language. It cov...Loe edasi...
The book introduces numerical analysis, with a focus on the implementation of methods and algorithms to solve a variety of mathematical problems in use within a variety of applications. It applies programming in MATLAB and Python to a variety of num...Loe edasi...
Sari: Wiley Series on Parallel and Distributed Computing
(Ilmumisaeg: 10-Jul-2009, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9780470496916)
Enables the readers to design and deploy powerful algorithms (methodologies and implementations) to solve complex optimization problems in a diverse range of industries. Includes numerous real-world examples to demonstrate how metaheuristics are app...Loe edasi...
Offers a treatment of spanning tree algorithms, from their role in classical computer science to their modern applications. This book explains the general properties of spanning trees. It explores several other spanning trees, including maximum leaf...Loe edasi...
