Recent Advances in Computational Optimization: Results of the Computational Optimization Thematic Session, Part of the Fedcsis 2024 Conference
暫譯: 計算優化的最新進展：2024年Fedcsis會議計算優化主題會議的成果
Fidanova, Stefka
- 出版商: Springer
- 出版日期: 2026-02-25
- 售價: $7,940
- 貴賓價: 9.8 折 $7,781
- 語言: 英文
- 頁數: 187
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032057108
- ISBN-13: 9783032057105
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相關分類:
工程數學 Engineering-mathematics
海外代購書籍(需單獨結帳)
商品描述
Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit.
Many real world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks.
The volume is a comprehensive collection of extended contributions from the Computational Optimization thematic session, part of the FedCSIS 2024 conference.
This book presents recent advances in computational optimization. The volume include important real problems like modelling of physical processes, transportation problems, machine scheduling, air pollution modelling, solving engineering and financial problems, daya optimiation and analysis, modeling and optimization in the field of disaster medicine.
It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others, application of Generalized nets for modeling and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization and decision making problems.
商品描述(中文翻譯)
我們的日常生活無法想像沒有優化。我們試圖最小化我們的努力，並最大化所獲得的利潤。
許多在工程、經濟、醫學及其他領域中出現的現實世界和工業問題都可以被表述為優化任務。
本書是來自 FedCSIS 2024 會議的計算優化主題會議的擴展貢獻的綜合集。
本書介紹了計算優化的最新進展。該卷包括重要的現實問題，如物理過程建模、運輸問題、機器排程、空氣污染建模、解決工程和金融問題、數據優化與分析、以及災難醫學領域的建模與優化。
它展示了如何基於新的智能方法（如進化計算、螞蟻群優化、約束編程蒙地卡羅方法等）為這些問題開發算法，以及廣義網絡在建模中的應用等。本研究展示了在工程、經濟及其他領域中出現的一些現實世界問題如何被表述為優化和決策問題。
作者簡介
Stefka Fidanova is Professor of Computer Science at Institute of Information and Communication Technologies, Bulgarian Academy of Sciences. Her research interests include theory, methods, applications of combinatorial optimization and parallel algorithms. She heads the research group of Parallel Algorithms and Machine Learning. She has authored over 200 refereed journal, proceedings and collection papers, edited 13 proceedings, collections and special issues and written 2 monographs. She belongs to the editorial boards of several international journals. She has received the Career Award 2018 of Marie Curie Alumni Association of EU. She is listed in the World's Top 2% Scientists by Stanford University in 2021.
作者簡介(中文翻譯)
Stefka Fidanova 是保加利亞科學院資訊與通信技術研究所的計算機科學教授。她的研究興趣包括組合優化和並行演算法的理論、方法及應用。她負責並行演算法與機器學習的研究小組。她已發表超過 200 篇經過審核的期刊文章、會議論文和專輯論文，編輯了 13 本會議論文集、專輯和特刊，並撰寫了 2 本專著。她是幾本國際期刊的編輯委員會成員。她獲得了歐盟瑪麗·居里校友協會的 2018 年職業獎。她在 2021 年被史丹佛大學列入全球前 2% 科學家名單。
