A Practical Approach to Metaheuristics Using LabVIEW and Matlab(r)
暫譯: 使用 LabVIEW 和 Matlab(r) 的元啟發式方法實務指南
Ponce-Cruz, Pedro, Gutiérrez, Arturo Molina, Ramírez-Mendoza, Ricardo A.
商品描述
Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB(R) and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems.
The unique features of this book are as follows:
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- Developed for researchers, undergraduate and graduate students, and practitioners
- A friendly description of the main metaheuristic optimization algorithms
- Theoretical and practical optimization examples
- A new earthquake optimization algorithm
- Updated state-of-the-art and research optimization projects
The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
商品描述(中文翻譯)
元啟發式優化已成為解決多個領域複雜優化問題的主要替代方案。因此，實務工作者和研究人員對那些主要基於自然現象的元啟發式演算法給予了廣泛的關注。然而，當這些演算法被實施時，卻缺乏足夠的書籍以友好的方式處理理論和實驗問題，因此本書提出了一個新穎的結構，包含了對最重要的元啟發式優化演算法的完整描述，以及一個名為地震優化的新元啟發式優化提案。本書還包含了幾個實用練習，並整合了 MATLAB(R) 的工具箱和 LabVIEW 的工具包作為本書的補充材料。這些工具包使讀者能夠快速從模擬環境轉移到實驗環境。本書適合於多個領域的研究人員、學生和專業人士，例如經濟學、建築學、計算機科學、電氣工程和控制系統。
本書的獨特特點如下：
- 為研究人員、本科生和研究生以及實務工作者開發
- 對主要的元啟發式優化演算法進行友好的描述
- 理論和實踐的優化範例
- 一種新的地震優化演算法
- 更新的最先進技術和研究優化項目
作者是多學科/跨學科的講師和研究人員，他們編寫了一種結構友好的學習方法，以理解本書中介紹的每個元啟發式優化演算法。
作者簡介
Dr. Pedro Ponce is a Senior Researcher Scientist and member of the Product In- novation Research Group at Teccnologico de Monterrey in Mexico City. He received the B.Eng. degree in Automation and Control, the M.Sc. and Ph.D. degree in Electri- cal Engineering focused on Automatic Control Systems, respectively. He worked for more than 12 years as a field and design engineer in Control Systems and Automation. Also, He has authored and co-authored more than 100 research articles, 14 books, and 6 inventions, including one US Patent. His research interests include Mechatronics, Control Systems, Smart Grids, Machine Learning, Product Design, Optimization, Electric Engineering, Education and Artificial Intelligence. He is a member of the Mexican National Researchers System, and Mexican Academy of science. Besides, He is an associate editor in the international journal of advanced robotics systems and the international journal on interactive design and manufacturing.
Dr. Arturo Molina is Vice President of Research and Technology Transfer and Pro- fessor from Tecnologico de Monterrey University in Mexico. He received the B.Eng. degree in computational systems and the M.Eng. degree in computational sciences from the Tecnologico de Monterrey and his PhD degree in Manufacturing Engineer- ing at Loughborough University of Technology and his University Doctor degree in Mechanical Engineering at the Technical University of Budapest, Hungary. He has co-authored more than 300 research articles and several inventions. His current research interests include concurrent engineering technologies and manufacturing, enterprise integration engineering, technology management he has applied research and development for the economic sectors of automotive, construction and energy. He is a member of the Mexican National Researchers System, the Mexican Academy of Science and the Mexican Academy of Engineering.
Dr. Ricardo A. Ramírez-Mendoza received a Ph.D. degree from INPG, France in1997. He is now Professor of Mechatronics and Mechanics Engineering and Dean of Research, National School of Engineering and Science at the Tecnologico de Mon- terrey within School of Engineering and Science. His main research interests include applications of advanced control to automotive systems, fault detection and isola- tion (FDI), electromobility, biomedical signal processing and engineering education. He is the (co-)author of 3 books, more than 100 papers in top journals and more than 170 international conference papers and more than 1,000 citations. Besides, he has worked as expert consulting for different industries and regional development project.
Efraín Méndez received the B.S. degree in Mechatronics Engineering from the Tecnologico de Monterrey, Mexico City Campus, Mexico. After the B.S. degree, he was in charge of electronics software and hardware design between 2016 and 2019, as part of a startup team dedicated to the design of power inverters for the control of three-phase induction motors. As part of the Project 266632 "Laboratorio Binacional para la Gestión Inteligente de la Sustentabilidad Energíetica y la Formación Tecnologica" ("Bi-National Labora- tory on Smart Sustainable Energy Management and Technology Training"), funded by the CONACYT (Consejo Nacional de Ciencia y Tecnología) SENER (Secretaría de Energía) Fund for Energy Sustainability (Agreement S0019201401), Efraín joined in 2016 the Ph.D. in engineering sciences program in the Tecnologico de Monterrey, where he is currently involved in PV and Power electronics research topics, specially dealing with the development of MPPT through metaheuristic algorithms.
Msc. Alexandro Ortiz is PhD candidate from Tecnologico de Monterrey in power electronics, energy harvesting, and renewable energy. Alexandro has a Bs. and MsC. in automatic control. He has currently 3 years of teaching experience and 5 years of industrial experience.
Dr. David Balderas was Born in Mexico City, Mexico. He received the B.Eng. in mechatronics engineering from Universidad Panamericana in 2005, his M.S. in biomedical engineering from Delft University of Technology in 2009, and the Ph.D. degree in engineering sciences, with specialization on Artificial Intelligence and Brain- Computer Interfaces from Tecnologico de Monterrey CCM in 2018. Since 2014, he has been an Assistant Professor and Researcher at Tecnologico de Monterrey teaching more than 10 different subjects. He is author of 2 book chapters and 8 research articles. His research interests include artificial intelligence especially neural networks, classification, optimization, parameter estimation, reinforcement learning; and biomedical applications such as brain computer interfaces, haptics, and prosthesis.
作者簡介(中文翻譯)
佩德羅·龐斯博士是墨西哥城蒙特雷科技大學產品創新研究小組的高級研究科學家。他獲得自動化與控制的工程學士學位，並在電機工程領域專注於自動控制系統獲得碩士及博士學位。他在控制系統和自動化領域擔任現場及設計工程師超過12年。此外，他已發表和共同發表超過100篇研究文章、14本書籍和6項發明，包括一項美國專利。他的研究興趣包括機電一體化、控制系統、智慧電網、機器學習、產品設計、優化、電機工程、教育和人工智慧。他是墨西哥國家研究系統和墨西哥科學院的成員。此外，他還是國際先進機器人系統期刊和國際互動設計與製造期刊的副編輯。
阿圖羅·莫利納博士是墨西哥蒙特雷科技大學的研究與技術轉移副總裁及教授。他獲得計算系統的工程學士學位和計算科學的工程碩士學位，並在拉夫堡科技大學獲得製造工程的博士學位，以及在匈牙利布達佩斯科技大學獲得機械工程的博士學位。他共同發表超過300篇研究文章和幾項發明。他目前的研究興趣包括同時工程技術和製造、企業整合工程、技術管理，並為汽車、建築和能源等經濟部門進行應用研究和開發。他是墨西哥國家研究系統、墨西哥科學院和墨西哥工程學院的成員。
里卡多·A·拉米雷斯-門多薩博士於1997年在法國INPG獲得博士學位。他目前是蒙特雷科技大學機電一體化與機械工程的教授及研究院院長。他的主要研究興趣包括先進控制在汽車系統中的應用、故障檢測與隔離（FDI）、電動移動性、生物醫學信號處理和工程教育。他是3本書的（共同）作者，並在頂級期刊發表超過100篇論文和超過170篇國際會議論文，引用次數超過1,000次。此外，他還為不同產業和區域發展項目擔任專家顧問。
埃夫拉因·門德斯在墨西哥城的蒙特雷科技大學獲得機電一體化工程的學士學位。獲得學士學位後，他在2016年至2019年間負責電子軟體和硬體設計，作為一個專注於設計三相感應電動機控制用電源逆變器的創業團隊的一部分。作為項目266632「雙邊實驗室以智能管理能源可持續性和技術培訓」的一部分，該項目由CONACYT（國家科學與技術委員會）和SENER（能源部）資助（協議S0019201401），埃夫拉因於2016年加入蒙特雷科技大學的工程科學博士課程，目前參與光伏和電力電子的研究主題，特別是通過元啟發算法開發最大功率點追蹤（MPPT）。
亞歷山德羅·奧爾蒂斯碩士是蒙特雷科技大學的電力電子、能量收集和可再生能源的博士候選人。亞歷山德羅擁有自動控制的學士和碩士學位。他目前擁有3年的教學經驗和5年的產業經驗。
大衛·巴爾德拉斯博士出生於墨西哥城。他於2005年在潘美大學獲得機電一體化工程的學士學位，於2009年在代爾夫特科技大學獲得生物醫學工程的碩士學位，並於2018年在蒙特雷科技大學獲得工程科學的博士學位，專攻人工智慧和腦機介面。自2014年以來，他一直是蒙特雷科技大學的助理教授和研究員，教授超過10門不同的課程。他是2本書章節和8篇研究文章的作者。他的研究興趣包括人工智慧，特別是神經網絡、分類、優化、參數估計、強化學習；以及生物醫學應用，如腦機介面、觸覺技術和義肢。
