UID:
almahu_9949385454402882
Format:
1 online resource (1 volume) :
,
illustrations (black and white)
ISBN:
9781000432886
,
1000432882
,
9781000432916
,
1000432912
,
9781003202653
,
1003202659
Content:
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.
Additional Edition:
Print version: Ding, Shuxin, 1991- Metaheuristics for resource deployment under uncertainty in complex systems. Boca Raton : CRC Press, 2021 ISBN 9781032065205
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781003202653
URL:
https://www.taylorfrancis.com/books/9781003202653
Bookmarklink
