Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low-cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are commonly large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, eff...
REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION Clearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, information, decision, information,” are ubiquitous, spanning virtually every human activity ranging from business applications, health (personal and public health, and medical decision making), energy, the sciences, all fields of engineering, finance, and e-commerce. The diversity of applications attracted the attention of at least 15 di...
Particle Swarm Optimization with Applications
Variational Methods For Evolving Objects (Advanced Studies in Pure Mathematics, #67)
This volume consists of eight original survey papers written by invited lecturers in connection with a conference 'Variational Methods for Evolving Objects' held at Hokkaido University, Sapporo, Japan, July 30 - August 3, 2012. The topics of papers vary widely from problems in image processing to dynamics of topological defects, and all involve some nonlinear phenomena of current major research interests. These papers are carefully prepared so that they serve as a good starting point of investig...
Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
OPTIMIZATION with MATLAB USING the GENETIC ALGORITHM. MULTIOBJECTIVE OPTIMIZATION
by J Lopez
The need for optimal partition arises from many real-world problems involving the distribution of limited resources to many users. The "clustering" problem, which has recently received a lot of attention, is a special case of optimal partitioning. This book is the first attempt to collect all theoretical developments of optimal partitions, many of them derived by the authors, in an accessible place for easy reference. Much more than simply collecting the results, the book provides a general fram...
60 Worksheets - Identifying Smallest Number of 3 Digits (60 Days Math Smallest Numbers, #2)
by Kapoo Stem
Algebraic Systems Theory, Behaviors, and Codes (Berichte aus der Mathematik)
Genericity In Polynomial Optimization (Series On Optimization And Its Applications, #3)
by Tien Son Pham and Ha Huy Vui
In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations. This book explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic problems are defined in a simple and elegant manner by using only the two basic (and relatively simple) notions of Newton polyhedron and non-degeneracy conditions associated with a given polynomial optimization probl...
An excellent financial research tool, this classic focuses on the methods of solving continuous time problems. The two-part treatment covers closely related approaches to the calculus of variations and optimal control. In the two decades since its initial publication, the text has defined dynamic optimization for courses in economics and management science.Simply, clearly, and succinctly written chapters introduce new developments, expound upon underlying theories, and cite examples. Exercises e...
Operator Theoretical Methods (International book series of mathematical texts)
This volume contains carefully selected contributions by participants at the Seventeenth International Conference on Operator Theory held at the University of Timisoara (Romania). A large variety of topics are covered, including single operator theory, C*-algebras, spectral theory, special classes of concrete operators, and holomorphic operator functions. The book also includes applications in other areas of mathematics and science.
The volume contains a collection of original papers and surveys in various areas of Differential Equations, Control Theory and Optimization written by well-known specialists and is thus useful for PhD students and researchers in applied mathematics.
Praise for the Series: "This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory." --IEEE Group Correspondence "This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control." --Control
Piecewise Affine Control (Advances in Design and Control)
by Luis Rodrigues, Behzad Samadi, and Miad Moarref
Engineering systems operate through actuators, most of which will exhibit phenomena such as saturation or zones of no operation, commonly known as dead zones. These are examples of piecewise-affine characteristics, and they can have a considerable impact on the stability and performance of engineering systems. This book targets controller design for piecewise affine systems, fulfilling both stability and performance requirements. The authors present a unified computational methodology for the a...
Introduction to Online Convex Optimization, second edition (Adaptive Computation and Machine Learning)
by Elad Hazan
New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process. In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, ga...
1999 13th Annual Conference of the Society of Instrument and Control Engineers on Japan (Sice)