Intelligent Production and Manufacturing Optimisation--The Bees Algorithm Approach
暫譯: 智能生產與製造優化:蜜蜂算法方法
Pham, Duc Truong, Hartono, Natalia
- 出版商: Springer
- 出版日期: 2022-11-20
- 售價: $7,480
- 貴賓價: 9.5 折 $7,106
- 語言: 英文
- 頁數: 402
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031145364
- ISBN-13: 9783031145360
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相關分類:
Machine Learning
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相關翻譯:
生產制造智能優化:基於蜜蜂算法 (簡中版)
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing.
With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions.
This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.
商品描述(中文翻譯)
這本書是首部專門探討蜜蜂演算法的著作。在對該演算法的主要概念進行簡單介紹後,本書呈現了與該演算法及其在生產和製造中的優化問題應用相關的最新成果和發展。
隨著第四次工業革命的到來,生產和製造過程及系統變得更加複雜。要從中獲得最佳性能,需要有效且高效的優化技術,而這些技術不依賴於過程或系統模型的可用性。這些模型通常要麼無法獲得,要麼因為過程和系統中高度的非線性和不確定性而在數學上難以處理。蜜蜂演算法是一種強大的基於群體的智能優化元啟發式演算法,靈感來自蜜蜂的覓食行為。該演算法在概念上優雅且極易應用。解決優化問題所需的僅僅是評估潛在解決方案質量的方法。
本書展示了該演算法的簡單性、有效性和多樣性,並鼓勵全球的工程師和研究人員進一步採用,以實現智能和可持續的製造與生產,迎接工業4.0時代及其後的挑戰。
作者簡介
Duc Truong Pham PhD DEng holds the Chance Chair of Engineering at the University of Birmingham where he started his career as a lecturer in robotics and control engineering following undergraduate and postgraduate studies at the University of Canterbury in New Zealand. Prior to returning to Birmingham in 2011, he was Professor of Computer-Controlled Manufacture and Director of the Manufacturing Engineering Centre at Cardiff University. His research is in the areas of intelligent systems, robotics and autonomous systems and advanced manufacturing technology. He has graduated more than 100 PhD students and, together with them and other research collaborators, has published over 600 technical papers including the original article on The Bees Algorithm. He is a recipient of several awards, notably, five best paper prizes from the Institution of Mechanical Engineers, a Lifetime Achievement Award from the World Automation Congress and a Distinguished International Academic Contribution Award from the IEEE. He is a Fellow of the Royal Academy of Engineering, the Learned Society of Wales, the Society for Manufacturing Engineers, the Institution of Engineering and Technology and the Institution of Mechanical Engineers. He was made an OBE in the Queen's 2003 New Year Honours List.
Natalia Hartono has been an Assistant Professor at University of Pelita Harapan, Indonesia, since 2016. She began her career as a lecturer in 2004 following undergraduate studies in Industrial Engineering at Maranatha Christian University and postgraduate studies in Industrial Engineering and Management at Bandung Institute of Technology, also in Indonesia. In 2019, she received a scholarship from the Indonesian Endowment Fund for Education for her Doctoral Studies at the University of Birmingham. Her research interests include operations research, supply chain management, product planning and design, the Bees Algorithm, intelligent systems, remanufacturing, and Structural Equation Modelling applications. She has one copyright and three industrial design rights from Ministry of Law and Human Rights Republic of Indonesia. She has published more than 35 articles in international and Indonesian journals and conferences. She has won three prizes for posters and presentations on her research at the University of Birmingham and was the co-winner of the Borg Automotive Reman Challenge 2021. She is a member of the International Association of Engineers, The Institution of Engineers Indonesia, and Supply Chain and Logistics Indonesia.
作者簡介(中文翻譯)
杜克·陳·范(Duc Truong Pham)博士、工程學榮譽博士(DEng)擔任伯明翰大學的工程學查恩斯講座教授(Chance Chair of Engineering),他在此開始了他的職業生涯,擔任機器人與控制工程的講師,並在新西蘭坎特伯雷大學完成了本科及研究生學習。在2011年回到伯明翰之前,他曾擔任卡迪夫大學的計算機控制製造教授及製造工程中心主任。他的研究領域包括智能系統、機器人與自主系統以及先進製造技術。他已指導超過100名博士生,並與他們及其他研究合作者共同發表了超過600篇技術論文,包括《蜜蜂演算法》(The Bees Algorithm)的原始文章。他獲得了多項獎項,特別是來自機械工程師學會的五項最佳論文獎、世界自動化大會的終身成就獎以及IEEE的傑出國際學術貢獻獎。他是英國皇家工程院、威爾士學術學會、製造工程師學會、工程與技術學會及機械工程師學會的院士。他在2003年女王新年榮譽名單中被授予OBE(大英帝國勳章)。
娜塔莉亞·哈頓(Natalia Hartono)自2016年以來一直擔任印尼佩利塔哈拉潘大學的助理教授。她於2004年開始她的職業生涯,擔任講師,並在印尼馬拉納塔基督教大學完成工業工程的本科學習,隨後在萬隆理工學院完成工業工程與管理的研究生學習。2019年,她獲得印尼教育基金會的獎學金,以支持她在伯明翰大學的博士學習。她的研究興趣包括運籌學、供應鏈管理、產品規劃與設計、蜜蜂演算法、智能系統、再製造及結構方程模型應用。她擁有來自印尼法律與人權部的1項著作權及3項工業設計權。她在國際及印尼期刊和會議上發表了超過35篇文章。她在伯明翰大學的研究海報和演示中獲得了三項獎項,並且是2021年博格汽車再製挑戰賽的共同獲獎者。她是國際工程師協會、印尼工程師學會及印尼供應鏈與物流協會的成員。