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Metaheuristics for Resource Deployment under Uncertainty in Complex Systems
Loot Price: R1,548
Discovery Miles 15 480
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Metaheuristics for Resource Deployment under Uncertainty in Complex Systems
Expected to ship within 12 - 19 working days
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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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