Constraint Handling in Metaheuristics and Applications
暫譯: 元啟發式演算法中的約束處理與應用

本書旨在討論不同約束處理方法的核心原則及其分析。書中的主要重點在於提供有關數學建模的豐富文獻，涵蓋測試及現實世界中具有約束的問題，並進一步發展通用的約束處理技術。這些技術可以納入適當的元啟發式演算法中，為所解決的問題和應用提供穩固的最佳解決方案。本書包含原創貢獻，旨在發展和討論針對元啟發式演算法及/或所處理應用的通用約束處理方法/技術。書中討論了多種新穎的、修改過的及混合的技術。所有章節的概念及數學層面均在科學家及工程和計算機科學領域的本科生和研究生的理解範圍內。建議讀者具備基本的概率、數學分析及優化知識。

本書還提供了當代約束處理方法的批判性回顧。本書的貢獻可能進一步幫助探索通往多學科研究討論的新途徑。本書是優化、人工智慧（AI）或計算智能領域的工程師、科學家及學生的完整參考資料。

Anand J Kulkarni holds a PhD in Distributed Optimization from Nanyang Technological University, Singapore, MS in Artificial Intelligence from University of Regina, Canada, Bachelor of Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as a Research Fellow on a Cross-border Supply-chain Disruption project at Odette School of Business, University of Windsor, Canada. Anand was Chair of the Mechanical Engineering Department at Symbiosis International (Deemed University) (SIU), Pune, India for three years. Currently, he is Associate Professor at the Symbiosis Center for Research and Innovation, SIU. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, multi-agent systems, complex systems, probability collectives, swarm optimization, game theory, self-organizing systems and fault-tolerant systems. Anand pioneered socio-inspired optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, Socio Evolution & Learning Optimization algorithm. He is the founder and chairman of the Optimization and Agent Technology (OAT) Research Lab and has published over 60 research papers in peer-reviewed journals, chapters and conferences along with 4 authored and 5 edited books.

Dr Efrén Mezura-Montes is a full-time researcher with the Artificial Intelligence Research Center at the University of Veracruz, MEXICO. His research interests are the design, analysis and application of bio-inspired algorithms to solve complex optimization problems. He has published over 150 papers in peer-reviewed journals and conferences. He also has one edited book and over 11 book chapters published by international publishing companies. From his work, Google Scholar reports over 6,900 citations. Dr Mezura-Montes is a member of the editorial board of the journals: "Swarm and Evolutionary Computation", "Complex & Intelligent Systems", "International Journal of Dynamics and Control", the "Journal of Optimization" and the "International Journal of Students' Research in Technology & Management". He is a former member of the editorial board of the journals "Computational Optimization and Applications" and "Soft Computing". He is also a reviewer for more than 20 international specialized journals, including the MIT Press Evolutionary Computation Journal, IEEE Transactions on Evolutionary Computation and the IEEE Transactions on Cybernetics. Dr Mezura-Montes is a member of the IEEE Computational Intelligence Society Evolutionary Computation Technical Committee and he is the founder of the IEEE Computational Intelligence Society task force on Nature-Inspired Constrained Optimization. He is a member of the IEEE Systems Man and Cybernetics Society Soft Computing Technical Committee. He is also regular member of the Machine Intelligence Research Labs (MIR Labs). Dr Mezura-Montes is a Level-2 member of the Mexican National Researchers System (SNI). Moreover, Dr Mezura-Montes is a regular member of the Mexican Academy of Sciences (AMC), a regular member of the Mexican Computing Academy (AMEXCOMP) and also a member of Technical Committee of the Mexican Science Council (CONACyT) Collaboration network on Applied Computational Intelligence.

Amir H Gandomi is a Professor of Data Science at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at the School of Business, Stevens Institute of Technology, USA and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over one hundred and ninety journal papers and seven books which collectively have been cited more than 16,000 times (H-index = 59). He has been named as one of the most influential scientific mind and Highly Cited Researcher (top 1%) for three consecutive years, 2017 to 2019. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimization and (big) data analytics using machine learning and evolutionary computations in particular.

Yong Wang received the Ph.D. degree in control science and engineering from the Central South University, Changsha, China, in 2011. He is a Professor with the School of Automation, Central South University, Changsha, China. His current research interests include the theory, algorithm design, and interdisciplinary applications of computational intelligence. Dr. Wang is an Associate Editor for the IEEE Transactions on Evolutionary Computation and the Swarm and Evolutionary Computation. He was a recipient of Cheung Kong Young Scholar by the Ministry of Education, China, in 2018, and a Web of Science highly cited researcher in Computer Science in 2017 and 2018.

Ganesh Krishnasamy joined the School of Information Technology, Monash University Malaysia as a Lecturer in July 2019. He received the B.Eng. and M.Eng. degrees in electrical and electronic engineering from Universiti Kebangsaan Malaysia in 2004 and 2007. After working in the manufacturing industry for more than 4 years, he continued his doctoral studies at the University of Malaya where he completed his Ph.D. degree in Electrical Engineering. After obtaining his Ph.D., he worked at Sime Darby Plantation as a data scientist for about a year. His current research interests include the field of computer vision, machine learning, and optimization.

Anand J Kulkarni 擁有新加坡南洋理工大學的分散優化博士學位、加拿大雷吉納大學的人工智慧碩士學位、印度希瓦吉大學的工程學學士學位，以及孟買技術教育委員會的文憑。他曾在加拿大溫莎大學的奧黛特商學院擔任研究員，參與跨境供應鏈中斷專案。Anand 曾擔任印度普納的西比奧西斯國際（被認定大學）機械工程系主任三年。目前，他是西比奧西斯研究與創新中心的副教授。他的研究興趣包括優化演算法、多目標優化、連續、離散及組合優化、多代理系統、複雜系統、機率集體、群體優化、博弈論、自組織系統及容錯系統。Anand 開創了社會啟發的優化方法論，如群體智慧、意識形態演算法、期望演算法、社會演化與學習優化演算法。他是優化與代理技術（OAT）研究實驗室的創始人及主席，並在同行評審的期刊、章節及會議上發表了超過60篇研究論文，還有4本著作及5本編輯書籍。

Efrén Mezura-Montes 博士是墨西哥韋拉克魯斯大學人工智慧研究中心的全職研究員。他的研究興趣是設計、分析及應用生物啟發的演算法來解決複雜的優化問題。他在同行評審的期刊和會議上發表了超過150篇論文，並出版了一本編輯書及超過11章由國際出版社出版的書籍。根據他的工作，Google Scholar 報告引用次數超過6,900次。Mezura-Montes 博士是《Swarm and Evolutionary Computation》、《Complex & Intelligent Systems》、《International Journal of Dynamics and Control》、《Journal of Optimization》和《International Journal of Students' Research in Technology & Management》等期刊的編輯委員會成員。他曾是《Computational Optimization and Applications》和《Soft Computing》期刊的編輯委員會成員。他也是超過20本國際專業期刊的審稿人，包括MIT Press的《Evolutionary Computation Journal》、IEEE的《Transactions on Evolutionary Computation》和《Transactions on Cybernetics》。Mezura-Montes 博士是IEEE計算智能學會演化計算技術委員會的成員，也是IEEE計算智能學會自然啟發約束優化工作組的創始人。他是IEEE系統人與控制學會的軟計算技術委員會成員，也是機器智能研究實驗室（MIR Labs）的常規成員。Mezura-Montes 博士是墨西哥國家研究人員系統（SNI）的二級成員。此外，Mezura-Montes 博士是墨西哥科學院（AMC）的常規成員、墨西哥計算學會（AMEXCOMP）的常規成員，並且是墨西哥科學委員會（CONACyT）應用計算智能合作網絡的技術委員會成員。

Amir H Gandomi 是悉尼科技大學工程與資訊技術學院的數據科學教授。在加入UTS之前，Gandomi 教授曾是美國史蒂文斯理工學院商學院的助理教授，以及美國密西根州立大學BEACON中心的傑出研究員。Gandomi 教授已發表超過190篇期刊論文和7本書籍，這些作品的引用次數總計超過16,000次（H-index = 59）。他在2017至2019年連續三年被評選為最具影響力的科學思想家和高被引研究者（前1%）。他在超過12,000名研究者中排名第18位。他曾擔任多本知名期刊的副編輯、編輯和客座編輯，如SWEVO的AE、IEEE TBD和IEEE IoTJ。Gandomi 教授積極參加主題演講和受邀演講。他的研究興趣主要集中在全球優化及使用機器學習和演化計算進行（大）數據分析。

Yong Wang 於2011年獲得中國長沙中南大學控制科學與工程博士學位。他是中南大學自動化學院的教授。他目前的研究興趣包括計算智能的理論、演算法設計及跨學科應用。Wang 博士是IEEE演化計算期刊和《Swarm and Evolutionary Computation》的副編輯。他於2018年獲得中國教育部的長江學者青年學者獎，並在2017年和2018年被評為計算機科學領域的高被引研究者。

Ganesh Krishnasamy 於2019年7月加入馬來西亞蒙納士大學信息技術學院擔任講師。他於2004年和2007年分別獲得馬來西亞國立大學的電氣與電子工程學士和碩士學位。在製造業工作超過4年後，他繼續在馬來亞大學攻讀博士學位，並獲得電氣工程博士學位。獲得博士學位後，他在Sime Darby Plantation擔任數據科學家約一年。他目前的研究興趣包括計算機視覺、機器學習和優化。