Metaheuristics for Resource Deployment under Uncertainty in Complex Systems
Shuxin Ding, Chen Chen, Qi Zhang, Bin Xin, Panos M. Pardalos
- 192 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Metaheuristics for Resource Deployment under Uncertainty in Complex Systems
Shuxin Ding, Chen Chen, Qi Zhang, Bin Xin, Panos M. Pardalos
About This Book
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.
Frequently asked questions
Information
CHAPTER 1 Introduction
1.1APPLICATIONS OF NODE DEPLOYMENT PROBLEM
1.1.1Unmanned Systems
- Video surveillance. Camera-mounted UAVs can provide coverage of multiple-oriented targets. The positions of these UAVs are decided by the ground control station with a master camera. Except for surveillance [4] and crowd monitoring [5], they can be used for infrastructure inspections [6], cinematography [7], etc.
- Networks. The UAVs can help formulate coverage when there are disturbances and disruptions in the cellular networks caused by concerts, natural disasters, etc. [8]. Problems such as minimizing the number of UAVs required for continuous coverage, maximizing the area coverage, and preserving network connectivity require an optimized deployment strategy [2].
1.1.2Wireless Sensor Networks
- Military applications. In command, control, communications, computers, intelligence, surveillance, and reconnaissance (C4ISR) systems, WSNs can be rapidly scattered in critical terrains, routes to provide battlefield intelligence. They can be used to detect and track enemy targets.
- Environmental applications. Environmental problem is a critical issue for human on the earth. WSNs can be used for wildlife monitoring, fire detection, measuring level, flood detection, air pollution detection, etc. [12].
- Industrial applications. WSNs can be used in manufacturing process management, monitoring the gas, water, and electric, lighting control, etc. They can also be used for monitoring the structural health of buildings, bridges, roads, physical condition of water and gas pipes, smart railway stations, etc.
- Home applications. WSNs in home environments connect everyday objects and devices at home through networks and create an Internet of Things (IoT)-based smart environment [13]. It is an environment that learns from our daily activity. People can conduct remote control of the home devices through IoT-based smart home systems [14].
- Medical applications. The Body Area Sensor Network (BASN) consists of multiple interconnected nodes for sensing, data processing, and wireless communication. These sensor nodes are placed on, near, or within the human body. The BASN sensor nodes constantly monitor and analyze different physiological signals, e.g., the electrical activities of the heart, muscles, and the brain; body temperature, blood glucose, blood pressure, blood oxygen saturation, etc. [15].
1.1.3Healthcare
- Healthcare facility location. The facility location problems for healthcare are mainly related to healthcare facilities, e.g., community health clinics, public and private hospitals, etc. The optimization criteria for healthcare facilities are minimizing access cost for healthcare consumers, maximizing population with access, etc.
- AED location. Optimizing the deployment of public automated external defibrillators (AEDs) can help to increase the probability of survival when sudden cardiac arrest occurs [17, 18].
- Ambulance location. Ambulance location belongs to the emergency vehicles sitting problems. The goal is to find the locations for the ambulances (or ambulance bases) with a minimal number and provide a certain level of service. Meanwhile, relocation decisions for ambulances should be periodically made to avoid areas unprotected [19].
- Hospital layout planning. The layout planning problems for hospitals aim at minimizing in-house travel distances or costs inside the building. It is classified as a resource capacity planning problem, which directly influences the quality and efficiency of healthcare, and patient satisfaction.