Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used. The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics. This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.
Electromechanical Coupling Theory, Methodology and Applications for High-Performance Microwave Equipment Electromechanical Coupling Theory, Methodology, and Applications for High-Performance Microwave Equipment is an authoritative and up-to-date guide to the structural, mechanical, and electrical aspects of electromechanical coupling. Addressing control, electromagnetism, and structural engineering, this comprehensive reference covers the electromechanical coupling of high-performance microwave electronic equipment (MEE), such as antennas, radar, large radio telescopes, and telecommunication and navigation equipment. The book is divided into four main sections, beginning with an introduction to electromechanical coupling (EMC) theory and a detailed description of the multi-field coupling model (MFCM) and the influence mechanism (IM) of nonlinear factors of antenna-servo-feeder systems on performance. Subsequent sections discuss MFCM- and IM-based design methodology, EMC-based measurement and testing, computer software for coupling analysis and design of electronic equipment, and various engineering applications of EMC theory and the IM of typical electronic equipment. In addition, the book: Discusses information and data transfer in electromagnetic fields, mechanical and structural deformation fields, and temperature fields Explains how high-performance microwave electronic equipment differs from traditional mechanical equipment Addresses EMC-based and general design-vector based optimization of electronic equipment design Describes applications such as a gun-guided radar system for warships and a large-diameter antenna for moon exploration Includes evaluation criteria to validate MFCM/IM design theory and methodology Electromechanical Coupling Theory, Methodology, and Applications for High-Performance Microwave Equipment is essential reading for circuit designers, microwave engineers, researchers working with high-frequency microwave engineering, and engineers working with integrated circuits in radar, communications, IoT, antenna engineering, and remote sensing.
Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used. The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics. This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.
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