OPTIMIZATION with MATLAB. NONLINEAR and MULTIOBJECTIVE OPTIMIZATION
by J Lopez
Integration of Scheduling and Location Models (Berichte aus der Mathematik)
by Holger Hennes
Multivalued Maps And Differential Inclusions: Elements Of Theory And Applications
by Valeri Obukhovskii and Boris Gel'man
The theory of multivalued maps and the theory of differential inclusions are closely connected and intensively developing branches of contemporary mathematics. They have effective and interesting applications in control theory, optimization, calculus of variations, non-smooth and convex analysis, game theory, mathematical economics and in other fields.This book presents a user-friendly and self-contained introduction to both subjects. It is aimed at 'beginners', starting with students of senior...
The Moment-SOS hierarchy is a powerful methodology that is used to solve the Generalized Moment Problem (GMP) where the list of applications in various areas of Science and Engineering is almost endless. Initially designed for solving polynomial optimization problems (the simplest example of the GMP), it applies to solving any instance of the GMP whose description only involves semi-algebraic functions and sets. It consists of solving a sequence (a hierarchy) of convex relaxations of the initial...
Advanced and Optimization Based Sliding Mode Control (Advances in Design and Control)
by Antonella Ferrara, Gian Paolo Incremona, and Michele Cucuzzella
A compendium of the authors' recently published results, this book discusses sliding mode control of uncertain nonlinear systems, with a particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new methods of advanced sliding mode control. They analyze classical theory and advanced algorithms, with numerical results complementing the theoretical treatment. Case studies examine applications of the algorithms to...
Heuristic and Optimization for Knowledge Discovery
Lecture Notes On Calculus Of Variations (Peking University Series In Mathematics, #6)
by Kung-Ching Chang
This is based on the course 'Calculus of Variations' taught at Peking University from 2006 to 2010 for advanced undergraduate to graduate students majoring in mathematics. The book contains 20 lectures covering both the theoretical background material as well as an abundant collection of applications. Lectures 1-8 focus on the classical theory of calculus of variations. Lectures 9-14 introduce direct methods along with their theoretical foundations. Lectures 15-20 showcase a broad collection of...
Geometry, Language and Strategy (Series on Knots and Everything, #37)
by Gerald H Thomas
Geometry, Language and Strategy is a way of looking at game theory or strategic decision-making from a scientific perspective, using standard equations from the fields of engineering and physics. To better approximate reality, it extends game theory beyond the two-player set piece.The book begins where former game theory literature ends - with multi-person games on a world stage. It encompasses many of the variables encountered in strategic planning, using mathematics borrowed from physics and e...
Combinatorial Optimization is the process of finding one or more optimal solutions in a well-defined and discrete problem space. Such problems occur in almost all fields of management, as well as in many engineering disciplines. Many businesses and industries use techniques of discrete optimization to improve the efficiency of their operations. The development of new optimization tools, algorithms and new applications of combinatorial optimization to problems arising in industry and business hav...
Optimization Techniques
The advent of rapid, reliable and cheap computing power over the last decades has transformed many, if not most, fields of science and engineering. The multidisciplinary field of optimization is no exception. First of all, with fast computers, researchers and engineers can apply classical optimization methods to problems of larger and larger size. In addition, however, researchers have developed a host of new optimization algorithms that operate in a rather different way than the classical ones,...
Features coverage of the service systems lifecycle, including service marketing, engineering, delivery, quality control, management, and sustainment Featuring an innovative and holistic approach, Service Science: The Foundations of Service Engineering and Management provides a new perspective of service research and practice. The book presents a practical approach to the service systems lifecycle framework, which aids in understanding and capturing market trends; analyzing the design and engin...
This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical algorithms and scientific computing. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. It covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithms, numerical integration, numerical methods of partial differenti...
"Shape optimization and spectral theory" is a survey book aiming to give an overview of recent results in spectral geometry and its links with shape optimization. It covers most of the issues which are important for people working in PDE and differential geometry interested in sharp inequalities and qualitative behaviour for eigenvalues of the Laplacian with different kind of boundary conditions (Dirichlet, Robin and Steklov). This includes: existence of optimal shapes, their regularity, the cas...
Handbook of Moth-Flame Optimization Algorithm (Advances in Metaheuristics)
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, noisy parameters, just to name a few. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analy...
Recent Advances of the Russian Operations Research Society
This collection of articles highlights the most interesting new results from the IX Moscow International Operations Research Conference, the largest Russian meeting in this field, held every three years for leading experts. These papers will interest researchers and organizations specialized in OR, Game Theory, System Analysis, Macro- and Micro-economic Modelling, and Actuarial Mathematics. The volume may be a source for PhD and Master students in the specified areas. The proposed methods for op...
Adjoint-Based Shape Optimization and Optimal Control with Applications to Microchannel Systems.
by Sebastian Blauth
This thesis investigates optimization problems constrained by partial differential equations (PDEs) with microchannel systems as novel applications. As our first application, we consider the shape optimization of a microchannel cooling system, rigorously analyze the problem, and prove its shape differentiability. Further, we also consider the numerical optimization of the cooling system for which we employ a hierarchy of reduced models. As our second application, we investigate the optimization...
This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains. Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniq...
Optimization and Operations Research
With a special focus on the theory and mathematical aspects, this graduate textbook introduces a wide range of methods and algorithms for machine learning and pattern recognition. By comparing different algorithms and their respective strengths and efficiencies, the reader gains insights into the mathematical intricacies and which algorithm is suitable for his specific application.
Interest in global optimization has been ever increasing over the last decade due to the increasing areas of its application such robotics, chemical engineering, safety verification, and worst case scenario analysis. This book is intended as a short introduction to modeling and solving global optimization problems. Divided into two parts, the first introducing theoretical aspects, the book continues by introducing the open solver platform for such problems, the COCONUT environment. Suitable for...
Price-Forecasting Models for Independent Bank Corp. INDB Stock (NASDAQ Composite Components, #1600)
by Ton Viet Ta
In maritime shipping, weather routing systems are popular to reduce fuel consumption and emissions. One of the most comprehensive overviews of applied optimization approaches to date has been compiled as part of this thesis. To ensure applicability for various types of ships and to reduce data requirements, weather-dependent ship motions and fuel consumption are frequently considered in a simplified way. Since simplifications are often regarded as insufficiently accurate, the objective of this t...