| 書目名稱 | Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling | | 編輯 | Kyle Robert Harrison,Saber Elsayed,Ruhul Amin Sark | | 視頻video | http://file.papertrans.cn/319/318051/318051.mp4 | | 概述 | Provides the reader with a broad overview of the project portfolio selection and scheduling problem.Highlights the state of the art and recent trends in evolutionary and memetic computing.Addresses th | | 叢書名稱 | Adaptation, Learning, and Optimization | | 圖書封面 |  | | 描述 | .This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times..It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Project Portfolio Selection; Project Scheduling; Portfolio Optimization; Memetic Computing; Evolutionary | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-88315-7 | | isbn_softcover | 978-3-030-88317-1 | | isbn_ebook | 978-3-030-88315-7Series ISSN 1867-4534 Series E-ISSN 1867-4542 | | issn_series | 1867-4534 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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