Dynamic Optimization

This research book presents the use of computational intelligence paradigms in the bioprocess-related tasks of modeling, supervision, monitoring and control, diagnostic, learning and optimization. All

Most developed economics show the tendency of an increasing importance of modern services such as tourism, logistical services, finance, and others. In many cases, complex optimization problems can be

Evolutionary Algorithms (EAs) now provide mature optimization tools that have successfully been applied to many problems, from designing antennas to complete robots, and provided many human-competitiv

A General Overview of Atomic Spectrometric Techniques Implementing a Robust Methodology: Experimental Designs and Optimization Ordinary Multiple Linear Regression and Principal Components Regressi

All psychological processes--like biological and social ones--are dynamic. Phenomena of nature, society, and the human psyche are context bound, constantly changing, and variable. This feature of rea

Convex body theory offers important applications in probability and statistics, combinatorial mathematics, and optimization theory. This easy-to-read treatment employs simple notation and clear, comp

Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve prob

This volume, which is based upon years of research effort and numerous meetings by a large number of scientists throughout the world, brings together different 'schools' of ecological investigation of woodlands. After a description of the structure and floristic composition of the research sites, involving a comparison of boreal, temperate, Mediterranean and tropical forest, the study goes on to consider the dynamic aspects of the woodland formation. These include growth and succession, carbon dioxide balance, water relations, soil processes and chemical cycling. Further chapters discuss comparative productivity, biomass and carbon metabolism. Forest growth and water balance are investigated using complex ecosystem models and the predictive value of such models is tested against observations.

A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems a

Discusses in the practical and theoretical aspects of one-period asset allocation, i.e. market Modeling, invariants estimation, portfolia evaluation, and portfolio optimization in the prexence of esti

Much of current management literature focuses on a limited set of 'classical' value levers, such as cost reduction, sales optimization or mergers & acquisitions, thus neglecting another core value lev

Praise for Dynamic Strategy-Making "An astonishingly timely, hopeful, and important book that recasts and freshly imagines strategy-making and integrates theory with practice in the field of strategic

Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to indus

Provides information on building Web sites using Joomla!, covering such topics as content managment, modules and components, search engine optimization, and extensions and add-ons.

Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In ord

While the static behavior of concrete has been the subject of numerous works, the same cannot be said for the dynamic behavior. This book sets out to remedy this situation: it begins by presenting the

This advertising guide is aimed at novice web developers and marketers who need to take advantage of the shift toward search engine optimization, Internet strategy planning, vertical portals and other

The development of polymeric materials and their optimization for high performance applications requires a detailed understanding of their degradation sensitivities, and the various features affectin

The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems and develops techniques for solving them. A number of engineering case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form. Five general problem classes are considered: linear systems of equations, non-linear systems of equations, unconstrained optimization, equality-constrained optimization and inequality-constrained optimization. The book contains many worked examples and homework exercises and is suitable for students of engineering or operations research taking courses in optimization. Supplementary material including solutions, lecture slides and appendices are available online at www.cambridge.org/9780521

Nowadays constraint satisfaction problems (CSPs) are ubiquitous in many different areas of computer science, from artificial intelligence and database systems to circuit design, network optimization,

With contributions from European and other authors around the world, this book details developments in blowing agents, process optimization, specialty foam development, and current trends in the field

There is increasing need to solve large-scale complex optimization problems in a wide variety of science and engineering applications, including designing telecommunication networks for multimedia tr

Covering technological aspects as well as the suitability and applicability of various kinds of uses, this handbook shows optimization strategies, techniques and assembly pathways to achieve the combi

This introduction to general equilibrium modelling takes an integrated approach to the analysis of macroeconomics and finance. It provides students, practitioners, and policymakers with an easily accessible set of tools that can be used to analyze a wide range of economic phenomena. Key features: • Provides a consistent framework for understanding dynamic economic models • Introduces key concepts in finance in a discrete time setting • Develops simple recursive approach for analyzing a variety of problems in a dynamic, stochastic environment • Sequentially builds up the analysis of consumption, production, and investment models to study their implications for allocations and asset prices • Reviews business cycle analysis and the business cycle implications of monetary and international models • Covers latest research on asset pricing in overlapping generations models and on models with borrowing constraints and transaction costs • Includes end-of-chapter exercises allowing readers to m

Advances in computational algebraic geometry have led to new applications in many fields. This text covers these applications and also material from IMA workshops on "Optimization and Control," and "A

This introduction to general equilibrium modelling takes an integrated approach to the analysis of macroeconomics and finance. It provides students, practitioners, and policymakers with an easily accessible set of tools that can be used to analyze a wide range of economic phenomena. Key features: • Provides a consistent framework for understanding dynamic economic models • Introduces key concepts in finance in a discrete time setting • Develops simple recursive approach for analyzing a variety of problems in a dynamic, stochastic environment • Sequentially builds up the analysis of consumption, production, and investment models to study their implications for allocations and asset prices • Reviews business cycle analysis and the business cycle implications of monetary and international models • Covers latest research on asset pricing in overlapping generations models and on models with borrowing constraints and transaction costs • Includes end-of-chapter exercises allowing readers to m

Finite element methods have become ever more important to engineers as tools for design and optimization, now even for solving non-linear technological problems. However, several aspects must be consi

Giving an overview of the challenges in the control of bioprocesses, this comprehensive book presents key results in various fields, including: dynamic modeling; dynamic properties of bioprocess model

"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what migh

This is a major contribution to the theory of rational choice which will be of particular interest to philosophers and economists. The author sets out the foundations of rational choice, and then sketches a dynamic choice framework in which principles of ordering and independence follow from a number of apparently plausible conditions. However, there is potential conflict among these conditions, and when they are weakened to avoid it the usual foundations of rational choice no longer prevail. The thrust of the argument is to suggest that the theory of rational choice is less deterministic than many suppose.

ARIS is ranked as the leading Business Process Modelling tool in the Gartner Quadrant for Business Process Analysis and Optimization. The ARIS Design Platform is being used as a business process mana

Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validi

Use HDR technology to create dramatic images that meld photography and art. High dynamic range imaging, or HDR, is the latest challenge for those who are serious about digital photography. But with th

Dynamic Assessment (DA) reconceptualizes classroom interactions by arguing that teaching and assessment should not be distinct undertakings. This book offers a much-needed coherent framework for co-co

Dynamic Assessment (DA) reconceptualizes classroom interactions by arguing that teaching and assessment should not be distinct undertakings. This book offers a much-needed coherent framework for co-co

Providing an end-to-end view of how modern web applications are built, Dynamic Web Application Development takes a cohesive approach to building a software architecture from core components. It tells

The utilization of polymeric materials and their optimization for high performance applications requires a detailed understanding of their degradation sensitivities, and the various features affectin

Written by the inventor of the Gas Dynamic Spray (GDS) technique, this first monograph on the topic brings the understanding of the GDS coating formation process to a new qualitative nanostructural le

JavaFX Script makes it easy for developers to quickly create high-quality user interface-intensive applications very quickly. AsJavaFX Script: Dynamic Java Scripting for Rich Internet/Client-side Appl

This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with m