Evolutionary Multi-Task Optimization: Foundations and Methodologies
暫譯: 演化多任務優化：基礎與方法論

Liang Feng is a Professor at the College of Computer Science, Chongqing University, China. His research interests include computational and artificial intelligence, memetic computing, big data optimization and learning, as well as transfer learning and optimization. His research on evolutionary multitasking won the 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award. He is an associate editor of the IEEE Computational Intelligence Magazine, IEEE Transactions on Emerging Topics in Computational Intelligence, Memetic Computing, and Cognitive Computation. He is also the founding chair of the IEEE CIS Intelligent Systems Applications Technical Committee Task Force on "Transfer Learning & Transfer Optimization."

Abhishek Gupta is currently a scientist and technical lead at the Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A*STAR). Over the past 5 years, Dr. Gupta has been working at the intersectionof optimization, neuroevolution and machine learning, with particular focus on theories and algorithms in transfer and multi-task optimization. He is interested in applications in engineering design and scientific computing. He received the 2019 IEEE Transactions on Evolutionary Computation Outstanding Paper Award by the IEEE Computational Intelligence Society (CIS), for his work on evolutionary multi-tasking. He is an associate editor of the IEEE Transactions on Emerging Topics in Computational Intelligence, and is also the founding chair of the IEEE CIS Emergent Technology Technical Committee (ETTC) Task Force on Multitask Learning and Multitask Optimization.

Kay Chen Tan is a Chair Professor of Computational Intelligence at the Department of Computing, The Hong Kong Polytechnic University. He has published over 300 peer-reviewed articles and seven books. He is currently the Vice-President (Publications) of IEEE Computational Intelligence Society. He has served as the Editor-in-Chief of IEEE Transactions on Evolutionary Computation (2015-2020) and IEEE Computational Intelligence Magazine (2010-2013), and currently serves as the Editorial Board Member of several journals. He has received several IEEE outstanding paper awards, and is currently an IEEE Distinguished Lecturer Program (DLP) speaker and Chief Co-Editor of Springer Book Series on Machine Learning: Foundations, Methodologies, and Applications.

Yew-Soon Ong is a President Chair Professor in Computer Science at Nanyang Technological University (NTU), and serves as Chief Artificial Intelligence Scientist at the Agency for Science, Technology and Research Singapore. At NTU, he serves as co-Director of the Singtel-NTU Cognitive & Artificial Intelligence Joint Lab, and Director of the Data Science and Artificial Intelligence Research Center. His research interest is in machine learning, evolution and optimization. He is founding Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computational Intelligence and serves as associate editor of IEEE Transactions on Neural Network & Learning Systems, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Artificial Intelligence and others. He has received several IEEE outstanding paper awards and was listed as a Thomson Reuters highly cited researcher and among the World's Most Influential Scientific Minds.

梁峰是中國重慶大學計算機科學學院的教授。他的研究興趣包括計算與人工智慧、模因計算、大數據優化與學習，以及轉移學習與優化。他在進化多任務方面的研究獲得了2019年IEEE進化計算期刊的傑出論文獎。他是IEEE計算智慧雜誌、IEEE新興計算智慧主題期刊、模因計算和認知計算的副編輯。他還是IEEE計算智慧學會智能系統應用技術委員會「轉移學習與轉移優化」工作組的創始主席。

阿比謝克·古普塔目前是新加坡製造技術研究所（SIMTech）科學家及技術負責人，隸屬於科學技術研究局（A*STAR）。在過去五年中，古普塔博士一直在優化、神經進化和機器學習的交叉領域工作，特別專注於轉移和多任務優化的理論與算法。他對工程設計和科學計算的應用感興趣。他因在進化多任務方面的研究而獲得2019年IEEE進化計算期刊的傑出論文獎。他是IEEE新興計算智慧主題期刊的副編輯，並且是IEEE計算智慧學會新興技術技術委員會（ETTC）多任務學習與多任務優化工作組的創始主席。

陳凱坦是香港理工大學計算系的計算智慧講座教授。他已發表超過300篇同行評審的文章和七本書籍。目前，他是IEEE計算智慧學會的副會長（出版）。他曾擔任IEEE進化計算期刊的主編（2015-2020）和IEEE計算智慧雜誌的主編（2010-2013），並且目前擔任多個期刊的編輯委員會成員。他獲得過多個IEEE傑出論文獎，並且目前是IEEE傑出講者計劃（DLP）的演講者，以及Springer機器學習系列書籍的首席共同編輯，該系列涵蓋基礎、方法論和應用。

翁耀順是南洋理工大學（NTU）計算機科學的主席教授，並擔任新加坡科學技術研究局的首席人工智慧科學家。在南洋理工大學，他擔任Singtel-NTU認知與人工智慧聯合實驗室的共同主任，以及數據科學與人工智慧研究中心的主任。他的研究興趣包括機器學習、進化和優化。他是IEEE新興計算智慧主題期刊的創始主編，並擔任IEEE神經網絡與學習系統期刊、IEEE進化計算期刊、IEEE人工智慧期刊等的副編輯。他獲得過多個IEEE傑出論文獎，並被列為湯森路透的高被引研究者，以及全球最具影響力的科學思想家之一。