Applied Multi-Objective Optimization
暫譯: 應用多目標優化

本書解釋了幾種應用多目標優化的基本概念，並展示了其在醫療保健、工程設計和製造等實際情境中的應用。書中討論了元啟發式演算法如何成功解決各個領域中具有挑戰性的多目標優化問題，包括工程、經濟學、醫療和環境管理。這個主題對於優化、工程、管理科學和計算機科學的研究生、研究人員和講師都非常有用。

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research (SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier etc. He is having 35 authored booksand over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.

Nilanjan Dey 是印度加爾各答 Techno International New Town 計算機科學與工程系的副教授。他是英國雷丁大學的訪問研究員。他同時擔任越南胡志明市的 Ton Duc Thang 大學的兼任教授。之前，他曾在美國加州的 Global Biomedical Technologies Inc. 擔任訪問科學家（2012-2015）。他於2015年在 Jadavpur 大學獲得博士學位。他是美國 IGI Global 出版的《國際環境計算與智能期刊》的主編。他是 Springer Tracts in Nature-Inspired Computing（SpringerNature）、Data-Intensive Research（SpringerNature）、Advances in Ubiquitous Sensing Applications for Healthcare（Elsevier）系列的共同編輯。他還是 IET Image Processing 的副編輯，以及 Springer Nature 的 Complex & Intelligent Systems、Elsevier 的 Applied Soft Computing 等期刊的編輯委員會成員。他擁有35本著作和300多篇關於醫學影像、機器學習、計算機輔助診斷、數據挖掘等領域的出版物。他是 IETE 的院士及 IEEE 的高級會員。