Multiobjective Optimization

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering,

This book constitutes the refereed proceedings of the Second International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2

This book constitutes the refereed proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, held in Brussels, Belgium in September 2004.The 22 revise

This book describes methods and approaches in the scale-up and optimization of preparative chromatography and presents a set of industrial case studies which show how scale-up is carried out for a var

Bilevel programming problems are hierarchical optimization problems where the constraints of one problem (the so-called upper level problem) are defined in part by a second parametric optimization

There has been much recent progress in global optimization algo- rithms for nonconvex continuous and discrete problems from both a theoretical and a practical perspective. Convex analysis plays a fun-

This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.The 45 revised full papers pre

Optimal Reliability Design, first published in 2000, provides a detailed introduction to systems reliability and reliability optimization. Techniques for maximizing system reliability are described, focusing on component reliability enhancement and redundancy arrangement. The authors present several case studies and show how optimization techniques are applied in practice. They also pay particular attention to finding methods that give the optimal trade-off between reliability and cost. The book begins with a review of key background material, and a discussion of a range of optimization models. The authors go on to cover optimization tools, such as heuristics, discrete optimization, nonlinear programming, mixed integer programming, optimal arrangement, and metaheuristic algorithms. They also describe the computational implementation of these tools. Many numerical examples are included, and the book contains over 180 homework exercises. It is suitable as a textbook for graduate-level co

This book documents the state of the art in combinatorial optimization, presenting approximate solutions of virtually all relevant classes of NP-hard optimization problems. The wealth of problems, alg

Optimization problems arising in practice usually contain several random parameters. Hence, in order to obtain optimal solutions being robust with respect to random parameter variations, the mostly av

Describes applications of cooperative game theory that arise from combinatorial optimization problems, useful in mathematical modeling of real-world situations in which there is more than one decision

Wiley-Interscience Series in Discrete Mathematics and Optimization Advisory Editors Ronald L. Graham Jan Karel Lenstra Robert E. Tarjan Discrete Mathematics and Optimization involves the study of fini

Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of m

Based on TD-LTE (Time Division-Long Term Evolution), this book adopts the modular teaching mode and applies the eNodeB equipment of Datang Mobile TD-LTE. Through the specific tasks in each module, it presents such contents as base station products, equipment installation, wireless technology, network testing, network planning and optimization, etc. in a comprehensive and detailed way. This book is divided into four training modules, namely, TD-LTE Equipment Cognition, TD-LTE Key Technologies, Network Test, Network Planning and Optimization. After learning the four training modules, learners can master the basic contents involved in the operation and maintenance of the mobile communications system, such as the hardware structure, maintenance and testing of the base station equipment, network planning and optimization. This book aims to cultivate high-quality skilled personnel who master the testing and optimization skills of base station and meet the requirements of standardized field m

This book explains the main ideas behind MemComputing, its theoretical foundations and its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechani

A forward-thinking manifesto from three Stanford professorsexperts who have worked at ground zero of the tech revolution for decadeswhich reveals how big techs obsession with optimization and efficien

Competitive Agents in Certain and Uncertain Markets uses concepts from optimization theory to develop an integrated analytic framework for treating consumer, producer, and market equilibrium analysis

Applied Managing for Entrepreneurship focuses also on the optimization of diversified and internationalized companies. It discusses the reasons for companies to diversify their activities and the vari

The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.

This title begins with the basic principles of electromagnetics and builds up to intricate optical filter designs, numerical optimization techniques, and production methods. It includes worked and pra

This title begins with the basic principles of electromagnetics and builds up to intricate optical filter designs, numerical optimization techniques, and production methods. It includes worked and pra

What if the ability to look, feel, and perform at peak capacity wasn’t the stuff of lore but instead was within easy reach? In a perfect world, you would be able to have it all: complete optimization

Calculus of variations has a long history. Its fundamentals were laid down by icons of mathematics like Euler and Lagrange. It was once heralded as the panacea for all engineering optimization problem

When it comes to digital innovation, much research has been done with regard to the optimization of teams, but little attention has been given to leadership structures. This book presents a comprehens

This book will cover heuristic optimization techniques and applications in engineering problems. The book will be divided into three sections that will provide coverage of the techniques, which can be

Phase-change Material based heat sinks and associated optimization remains a topic of great interest, as evident from the increasing number of citations and new applications and miniaturization. Often

This book reviews the fundamentals of and the recent developments in life-cycle analysis and maintenance optimization for fatigue-sensitive structures. The book provides knowledge on life-cycle perfor

Strategic Planning for the Sustainable Production of Biofuels presents several optimization models for the design and planning of sustainable biorefinery supply chains, including issues surrounding th

Optimal Impulsive Control explores the class of impulsive dynamic optimization problems—problems that stem from the fact that many conventional optimal control problems do not have a solution in the c

Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems. Multiset-mappings are introduced to engineer numerical minimizatio

While there are many spatial/frequency domain watermarking techniques, optimization is a commonly encountered mathematical problem in data security related issues. The research on new embedding domain

Disjunctive Programming is a technique and a discipline initiated by the author in the early 1970's, which has become a central tool for solving nonconvex optimization problems like pure or mixed inte

This book covers the design and optimization of hybrid RF-baseband precoding for massive multiple-input multiple-output (MIMO)-enabled cloud radio access networks (RANs), where use cases such as milli

A metaheuristic is a higher-level procedure designed to select a heuristic (partial search algorithm) that may lead to a sufficiently good solution to an optimization problem, especially with incomple

A hands-on guide to writing a Message Passing Interface, this book takes the reader on a tour across major MPI implementations, best optimization techniques, application relevant usage hints, and a hi

This book focuses on the suitable methods to solve optimization problems in wireless network system utilizing digital sensors like Wireless Sensor Network. This kind of system has been emerging as the

This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The a

In today’s business environment, as organizations constantly seek to growth and develop through the optimization of their innovative and creative potential, understanding the critical issues and

This book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear o

This detailed volume explores advances in vector design, DNA delivery, cell cultivation, host cell engineering, and bioprocess optimization within the study of recombinant protein expression in mammal