{"product_id":"metaheuristics-for-resource-deployment-under-uncertainty-in-complex-systems-9781032065243","title":"Metaheuristics for Resource Deployment under Uncertainty in Complex Systems","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eMetaheuristics for Resource Deployment under Uncertainty in Complex Systems is a book that analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost, considering uncertainty and real-world applications. It covers cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics, breaking new ground in its analysis. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 192 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 September 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eMetaheuristics for Resource Deployment under Uncertainty in Complex Systems is a comprehensive exploration of optimizing resource allocation in complex systems, considering the inherent uncertainty present in various scenarios. It delves into the strategic placement of resources, encompassing both static and mobile nodes, to achieve optimal performance at the lowest cost. These resources can be utilized to provide services to specific areas or customers, highlighting the diverse nature of resource deployment. By incorporating theories of modeling and solution techniques, the book accounts for uncertainty and applies them to real-world applications.\u003cbr\u003e\u003cbr\u003eThe authors present a range of modeling and metaheuristics approaches, drawing from stochastic programming, robust optimization, fuzzy programming, risk management, and single\/multi-objective optimization. These models are tailored to address resource deployment challenges in diverse domains. The resources involved in these scenarios are heterogeneous, encompassing sensors and actuators that perform various tasks. The book explores both separate and cooperative coverage of resources, considering the interplay between individual and collective efforts to achieve optimal outcomes.\u003cbr\u003e\u003cbr\u003ePrevious research in this field has primarily focused on a single type of resource and has assumed static and deterministic problems. This book, however, pioneers the analysis of cooperative coverage with heterogeneous resources and the dynamic properties of these resources, employing metaheuristics to address the complexities inherent in uncertain and dynamic environments.\u003cbr\u003e\u003cbr\u003eBy providing a comprehensive and in-depth exploration of resource deployment under uncertainty, this book serves as a valuable resource for researchers, professionals, academics, and graduate students in related areas. It offers a thorough understanding of resource deployment problems and theories of uncertainty, encompassing problem formulations, assumptions, and solution methods. The book empowers readers to delve into the intricacies of resource allocation, fostering innovation and progress in complex systems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 453g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032065243\u003c\/p\u003e","brand":"Shuxin Ding,Chen Chen,Qi Zhang,Bin Xin,PanosPardalos","offers":[{"title":"Paperback \/ softback","offer_id":44646804062458,"sku":"9781032065243","price":48.54,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1697219631964_book.jpg?v=1697574964","url":"https:\/\/shulphink.com\/products\/metaheuristics-for-resource-deployment-under-uncertainty-in-complex-systems-9781032065243","provider":"Shulph Ink","version":"1.0","type":"link"}