Socio-Cultural Inspired Metaheuristics
暫譯: 社會文化啟發的元啟發式演算法

本書介紹了社會文化啟發演算法領域的最新見解和發展。類似於進化和群體基礎的優化演算法，社會文化演算法屬於元啟發式（問題無關的計算方法）的一類，並受到人類在社會互動中相互學習的自然和社會趨勢的啟發。本書對於從事優化、進化計算、人工智慧（AI）和計算智能領域的工程師、科學家和學生來說，是一本有趣的讀物。

Anand J. Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, M.S. in AI from the University of Regina, Canada, and Bachelor of Engineering from Shivaji University, India. He worked as a Research Fellow on a cross-border supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is working as Head and Associate Professor at the Symbiosis Institute of Technology, Pune, India. His research interests include optimization algorithms, multi-objective optimization, multi-agent systems, complex systems, swarm optimization, game theory and self-organizing systems. He is the founder and chairman of the OAT Research Lab. Anand has published over 40 research papers in peer-reviewed journals and conferences along with two books.

Pramod Kumar Singh is an Associate Professor in Information and Communication Technology at the ABV-Indian Institute of Information Technology and Management, Gwalior, India. He completed his B. Tech. from the Kamla Nehru Institute of Technology, Sultanpur, UP, India, and M. Tech. and Ph.D. from the Indian Institute of Technology, Kharagpur, India. His research interest includes computational intelligence, multi-objective optimization, data mining, text analytics, and machine learning. He is member of IEEE and ACM. He has been Associate Editor of IJSI and Guest Editor of JOCS. Besides, he is on the reviewer board of various reputed journals published by IEEE (including Transactions), Elsevier, Springer, ACM, and Taylor and Francis. He has published more than 70 research papers in various international journals and conferences.

Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT, Odisha, India. Previously, he was a Professor and Head of the Department of CSE at ANITS, AP, India. He received his Ph.D. in CSE from JNTU, Hyderabad and M.Tech. in CSE from the NIT, Odisha. He has more than 27 years of teaching and research experience. His research interests include machine learning, data mining, swarm intelligence and applications. He has published more than 98 papers in respected journals and conferences and has edited numerous volumes for Springer AISC and LNCS. In addition to serving on the editorial board of several journals, he is a senior member of the IEEE and a life member of the Computer Society of India, where he is the National Chairman of Division-V (Education and Research).

Ali Husseinzadeh Kashan completed his Ph.D. and postdoc in Industrial Engineering at Amirkabir University of Technology, Iran. Currently, he is an Associate Professor at the Department of ISE, Tarbiat Modares University, Iran. He received an 'Outstanding Young Scientist of Industrial Engineering' award from the Academy of Sciences of the Islamic Republic of Iran in 2016, and has been awarded honors for his research by various academic associations in Iran. His research interests include mathematical modelling and algorithms, computational intelligence and engineering design with nature-inspired optimization and simulation-based optimization. Dr. Kashan has published over 70 research papers in peer-reviewed journals and conferences and has served as a reviewer for several outstanding journals such as: IEEE Transactions on Evolutionary Computations, Omega, Computers & Operations Research, Journal of the Operational Research Society, Computers & Industrial Engineering, and International Journal of Production Research.

Kang Tai obtained his B.Eng. (1st Class Honors) in Mechanical Engineering from the NUS in 1990. In 1992 he was awarded the NTU Singapore Overseas Scholarship to pursue his Ph.D. at the Imperial College of Science, Technology and Medicine London, after which he returned to NTU in 1995 and he is currently an Associate Professor there. From 2001 to 2004 he was also concurrently appointed as a Faculty Fellow of the Singapore-MIT Alliance. He teaches various UG and PG courses. His research interests include design automation, optimization, evolutionary algorithms, computational geometry, system identification and mathematical modeling of industrial processes. He has also published more than 70 research papers.

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，以及印度希瓦吉大學的工程學士學位。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。目前，他在印度浦那的共生科技學院擔任系主任及副教授。他的研究興趣包括優化演算法、多目標優化、多代理系統、複雜系統、群體優化、博弈論和自組織系統。他是OAT研究實驗室的創始人和主席。Anand已在同行評審的期刊和會議上發表了超過40篇研究論文，並出版了兩本書籍。

Pramod Kumar Singh 是印度Gwalior的ABV-印度信息技術與管理學院的資訊與通信技術副教授。他在印度烏塔爾邦的Kamla Nehru技術學院獲得B. Tech.學位，並在印度卡拉格普爾的印度理工學院獲得M. Tech.和博士學位。他的研究興趣包括計算智能、多目標優化、數據挖掘、文本分析和機器學習。他是IEEE和ACM的成員，曾擔任IJSI的副編輯和JOCS的客座編輯。此外，他還是多個由IEEE（包括Transactions）、Elsevier、Springer、ACM和Taylor & Francis出版的知名期刊的審稿委員。他在各種國際期刊和會議上發表了超過70篇研究論文。

Suresh Chandra Satapathy 是印度奧里薩州KIIT計算機工程學院的教授。之前，他是印度安得拉邦ANITS計算機科學與工程系的教授及系主任。他在海得拉巴的JNTU獲得計算機科學與工程博士學位，並在奧里薩的NIT獲得計算機科學與工程碩士學位。他擁有超過27年的教學和研究經驗。他的研究興趣包括機器學習、數據挖掘、群體智能及其應用。他在受尊敬的期刊和會議上發表了超過98篇論文，並為Springer AISC和LNCS編輯了多本專輯。除了擔任多個期刊的編輯委員會成員外，他還是IEEE的高級會員和印度計算機學會的終身會員，並擔任該學會第五部門（教育與研究）的全國主席。

Ali Husseinzadeh Kashan 在伊朗阿米爾卡比爾科技大學完成了工業工程的博士學位和博士後研究。目前，他是伊朗塔爾比亞特·莫達雷斯大學工業系的副教授。他在2016年獲得伊朗伊斯蘭共和國科學院頒發的「工業工程傑出青年科學家」獎，並因其研究獲得了伊朗多個學術協會的榮譽。他的研究興趣包括數學建模和演算法、計算智能以及基於自然啟發的優化和模擬的工程設計。Kashan博士在同行評審的期刊和會議上發表了超過70篇研究論文，並擔任多個優秀期刊的審稿人，如：IEEE Transactions on Evolutionary Computations、Omega、Computers & Operations Research、Journal of the Operational Research Society、Computers & Industrial Engineering，以及International Journal of Production Research。

Kang Tai 於1990年在新加坡國立大學獲得機械工程一級榮譽學士學位。1992年，他獲得南洋理工大學的海外獎學金，前往倫敦帝國理工學院攻讀博士學位，並於1995年回到南洋理工大學，目前擔任副教授。從2001年到2004年，他同時被任命為新加坡-麻省理工學院聯盟的教職員研究員。他教授各種本科和研究生課程。他的研究興趣包括設計自動化、優化、演化演算法、計算幾何、系統識別和工業過程的數學建模。他也發表了超過70篇研究論文。