Hybrid Quantum Metaheuristics: Theory and Applications
暫譯: 混合量子元啟發式演算法：理論與應用

這段文字討論了幾種混合量子元啟發式演算法，以有效分析各種工程問題。這將是電機工程、電子與通信工程以及計算機科學工程領域的研究生和專業人士的理想參考書籍。

Siddhartha Bhattacharyya is currently working as a professor, department of computer science and engineering, CHRIST University Bangalore, India. His current research interest includes soft computing, pattern recognition, image processing, multimedia information retrieval, quantum-inspired soft computing, portfolio optimization and social networks. He is life fellow of Optical Society of India, Fellow of Institute for Engineering Research and Publication (IFERP) India, Institution of Electronics and Telecommunication Engineers (IETE) India, a senior member of Institute of Electrical and Electronics Engineers (IEEE) the USA and member of Institution of Engineering and Technology (IET) the UK. He has published several research papers in journals of national and international repute.

Mario Köppen is presently working as a professor, graduate school of creative informatics, Kyushu Institute of Technology, Japan. He worked as a scientific assistant at the Central Institute for Cybernetics and Information Processing in Berlin and from 1992 to 2006, he was working with the Fraunhofer Institute for Production Systems and Design Technology, Germany. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as a chair or member of the program committee, including the WSC online conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is a founding member of the World Federation of Soft Computing, and Associate Editor of the Applied Soft Computing journal. His current research interest includes image processing and pattern recognition, neural networks, evolutionary computation, fuzzy fusion, mathematical morphology, algorithm design and complexity, multi-objective and relational optimization, and digital content management.

Elizabeth C. Behrman is currently working as a professor of physics and mathematics, Wichita State University, USA. She received masters and Ph.D. degrees from the University of Illinois at Urbana-Champaign, the USA in 1981 and 1985 respectively. Her research interests and publications are broad, ranging from chemical kinetics and reaction pathways to ceramic superconductors to nuclear waste vitrification. She was the first to predict the stability of inorganic Buckyball's and buckytubes, and among the first to design and computationally test models for quantum neural networks. Her major focus interest includes theoretical quantum computing, quantum information, and quantum control, particularly quantum machine learning and quantum AI. She has taught courses including quantum mechanics, classical mechanics, solid-state physics, electricity and magnetism, computational physics, and theoretical physics. She has published several research papers in journals of national and international repute.

Ivan Cruz Aceves is presently working as a researcher, Centre for Research in Mathematics (CIMAT), Mexico. He did his Ph.D. in electrical engineering from Universidad de Guanajuato, Mexico in 2014. His current research interest includes segmentation techniques and stochastic optimization methods for medical image processing and analysis. He has published research papers in the journal of national and international repute."

Siddhartha Bhattacharyya 目前擔任印度班加羅爾基督大學計算機科學與工程系的教授。他目前的研究興趣包括軟計算、模式識別、影像處理、多媒體資訊檢索、量子啟發的軟計算、投資組合優化和社交網絡。他是印度光學學會的終身會員、印度工程研究與出版學會（IFERP）的會員、印度電子與電信工程師學會（IETE）的會員、美國電氣與電子工程師學會（IEEE）的高級會員，以及英國工程與技術學會（IET）的會員。他在國內外知名期刊上發表了多篇研究論文。

Mario Köppen 目前擔任日本九州科技大學創意資訊研究所的教授。他曾在柏林的中央控制論與資訊處理研究所擔任科學助理，並於1992年至2006年在德國弗勞恩霍夫生產系統與設計技術研究所工作。他在會議論文集、期刊和書籍上發表了超過150篇經過同行評審的論文，並在各種會議的組織中擔任主席或程序委員會成員，包括針對工業應用的軟計算的WSC線上會議系列，以及混合智能系統的HIS會議系列。他是世界軟計算聯合會的創始成員，也是《應用軟計算》期刊的副編輯。他目前的研究興趣包括影像處理和模式識別、神經網絡、演化計算、模糊融合、數學形態學、演算法設計與複雜性、多目標與關聯優化，以及數位內容管理。

Elizabeth C. Behrman 目前擔任美國威奇塔州立大學的物理與數學教授。她於1981年和1985年分別在美國伊利諾伊大學厄本那-香檳分校獲得碩士和博士學位。她的研究興趣和出版範圍廣泛，涵蓋化學動力學和反應途徑、陶瓷超導體到核廢料玻璃化。她是第一位預測無機巴基球和巴基管穩定性的人，並且是第一批設計和計算測試量子神經網絡模型的人之一。她的主要研究焦點包括理論量子計算、量子資訊和量子控制，特別是量子機器學習和量子人工智慧。她教授的課程包括量子力學、經典力學、固態物理學、電學與磁學、計算物理學和理論物理學。她在國內外知名期刊上發表了多篇研究論文。

Ivan Cruz Aceves 目前擔任墨西哥數學研究中心（CIMAT）的研究員。他於2014年在墨西哥瓜納華托大學獲得電機工程博士學位。他目前的研究興趣包括醫學影像處理和分析的分割技術和隨機優化方法。他在國內外知名期刊上發表了研究論文。