Metaheuristics for Resource Deployment Under Uncertainty in Complex Systems
暫譯: 在複雜系統中不確定性下的資源部署元啟發式方法

Name: Metaheuristics for Resource Deployment Under Uncertainty in Complex Systems
Price: 3905 TWD
Availability: OnlineOnly
Author: Ding, Shuxin, Zhang, Haili, Chen, Chen
ISBN: 1032065206

Ding, Shuxin, Zhang, Haili, Chen, Chen

出版商: CRC
出版日期: 2021-09-30
售價: $4,110
貴賓價: 9.5 折 $3,905
語言: 英文
頁數: 192
裝訂: Hardcover - also called cloth, retail trade, or trade
ISBN: 1032065206
ISBN-13: 9781032065205

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商品描述

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.

商品描述(中文翻譯)

《在複雜系統中不確定性下的資源部署元啟發式方法》分析了如何設置資源部署的位置，以在最低成本下獲得最佳性能。資源可以是靜態節點和移動節點，同時可以為特定區域或客戶提供服務。該書使用了建模理論和解決技術，考慮了不確定性並應用了現實世界的案例。

作者提出了在不確定性下解決資源部署問題的建模和元啟發式方法，所使用的模型與隨機規劃、穩健優化、模糊規劃、風險管理以及單目標/多目標優化相關。資源是異質的，可以是提供不同任務的傳感器和執行器。對資源的獨立覆蓋和協作覆蓋進行了分析。以往的研究通常處理一種類型的資源，並考慮靜態和確定性問題，因此本書在分析異質資源的協作覆蓋以及這些資源的不確定性和動態特性方面開創了新局面，並使用了元啟發式方法。

本書將幫助相關領域的研究人員、專業人士、學者和研究生更好地理解資源部署問題和不確定性理論的理論與應用，包括問題的表述、假設和解決方法。

作者簡介

Shuxin Ding is currently an assistant researcher with the Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited. His current research interests include railway scheduling, evolutionary computation, multi-objective optimization, and optimization under uncertainty.

Chen Chen is currently a professor with the School of Automation, Beijing Institute of Technology. Her current research interests include complicated systems, multi-objective optimization, and distributed simulation.

Qi Zhang is currently a chief researcher of China Academy of Railway Sciences Corporation Limited, and a leader in railway technical expertise. His research interests include railway signal and communication, automatic train operation, train operation control, intelligent dispatching, and cooperative control of multiple trains.

Bin Xin is currently a professor with the School of Automation, Beijing Institute of Technology. His current research interests include search and optimization, evolutionary computation, unmanned systems, and multi-agent systems.

Panos M. Pardalos is a Distinguished Professor in the Department of Industrial and Systems Engineering at the University of Florida, and an affiliated faculty of the Biomedical Engineering and Computer Science & Information & Engineering departments. He has published over 500 journal papers and edited/authored over 200 books. He is one of the most cited authors and has graduated 65 Ph.D. students so far.