Optimization Techniques and their Applications to Mine Systems
暫譯: 優化技術及其在礦業系統中的應用

本書描述了優化演算法的基本理論概念，以及它們在礦業工程中的潛在應用和實施策略。書中討論了礦系統的可靠性分析、礦山的庫存管理，以及非線性優化的應用，並提供了範例和數值問題。

Amit Kumar Gorai is an Associate Professor in the Department of Mining Engineering at National Institute of Technology, Rourkela, India. Prior to join at NIT Rourkela, Dr. Gorai has worked at Birla Institute of Technology Mesra, Ranchi for over 7 years. He has published over 60 research articles on reliability, machine learning, remote sensing, environment, etc. In addition, Dr. Gorai has written 1 guide book, 'A Complete Guide for Mining Engineers' and 1 edited book, 'Sustainable Mining Practices'. Dr. Gorai has received his Ph.D. from Indian School of Mines, Dhanbad. He has worked as an Endeavour Executive Fellow at the University of New South Wales, Sydney, Australia, and Raman Postdoctoral Fellow at Jackson State University, MS, USA. He has been teaching Mine Systems Engineering at NIT Rourkela for last 5 years. He has completed several sponsored research projects in the field of environmental modelling for different government organizations. His current research area is systems optimization, machine learning, GIS and Remote Sensing. Gorai is a life member of the Institution of Engineers India (IEI), The Mining, Geological & Metallurgical Institute (MGMI) of India.

Snehamoy Chatterjee is an Assistant Professor of Mining Engineering in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University. Before joining Michigan Tech, Chatterjee was working as an Assistant Professor at the National Institute of Technology, Rourkela, India. Chatterjee specializes in ore reserve estimation, short- and long-range mine planning, mining machine reliability analysis, mine safety evaluation, and the application of image analysis and artificial intelligence in mining problems. He received his Ph.D. in Mining Engineering from the Indian Institute of Technology Kharagpur, India. Chatterjee worked as a Post-Doctoral Fellow at the University of Alaska Fairbanks, and as a research associate at COSMO Stochastic Mine Planning Laboratory, McGill University, Canada, where he focused on mine planning optimization and ore-body modeling under uncertainty. Presently, Chatterjee is actively involved in research work in the field of resource modeling, production planning, and online quality monitoring, integrating multiple data types. He is teaching courses and advising students on topics related to mine planning, mineral resource modeling, mining machine reliability, and vision-based online quality monitoring. He has completed several sponsored research and industry projects in these fields for different government organizations and mining companies in India and the USA.

Chatterjee is an active member of the International Associate of Mathematical Geosciences (IAMG), the Society for Mining, Metallurgy, and Exploration, Inc. (SME), the Society of Mining Professors (SOMP). He has served as a co-convener and a technical committee member for several international mining conferences. He is also a reviewer for more than twenty journals and has received The Editor's Best Reviewer Awards 2014 from Mathematical Geosciences Journal. He is the recipient of the 2015 APCOM Young Professional Award at the 37th APCOM in Fairbanks, Alaska. He is an editorial board member of International Journal of Mining, Reclamation, and Environment and Artificial Intelligence Research journal, and associate editor of Results in Geophysical Sciences.

Amit Kumar Gorai 是印度羅爾凱拉國立技術學院（National Institute of Technology, Rourkela）礦業工程系的副教授。在加入羅爾凱拉國立技術學院之前，Gorai 博士在比爾拉技術學院（Birla Institute of Technology Mesra, Ranchi）工作了超過七年。他已發表超過60篇關於可靠性、機器學習、遙感、環境等方面的研究文章。此外，Gorai 博士還撰寫了一本指南書《礦業工程師完全指南》（A Complete Guide for Mining Engineers）和一本編輯書《可持續礦業實踐》（Sustainable Mining Practices）。Gorai 博士在印度礦業學院（Indian School of Mines, Dhanbad）獲得博士學位。他曾在澳大利亞新南威爾士大學（University of New South Wales, Sydney）擔任 Endeavour Executive Fellow，並在美國密西西比州的傑克遜州立大學（Jackson State University）擔任 Raman 博士後研究員。他在羅爾凱拉國立技術學院教授礦山系統工程已有五年。他已完成多個針對不同政府機構的環境建模贊助研究項目。他目前的研究領域包括系統優化、機器學習、地理資訊系統（GIS）和遙感。Gorai 是印度工程師協會（Institution of Engineers India, IEI）和印度礦業、地質與冶金學會（The Mining, Geological & Metallurgical Institute, MGMI）的終身會員。

Snehamoy Chatterjee 是密西根科技大學（Michigan Technological University）地質與礦業工程及科學系的礦業工程助理教授。在加入密西根科技大學之前，Chatterjee 曾在印度羅爾凱拉國立技術學院擔任助理教授。Chatterjee 專注於礦石儲量估算、短期和長期礦山規劃、礦機可靠性分析、礦山安全評估，以及影像分析和人工智慧在礦業問題中的應用。他在印度理工學院卡哈拉古爾（Indian Institute of Technology Kharagpur）獲得礦業工程博士學位。Chatterjee 曾在阿拉斯加大學費爾班克斯校區（University of Alaska Fairbanks）擔任博士後研究員，並在加拿大麥吉爾大學（McGill University）COSMO 隨機礦山規劃實驗室擔任研究助理，專注於不確定性下的礦山規劃優化和礦體建模。目前，Chatterjee 積極參與資源建模、生產規劃和在線質量監控等領域的研究工作，整合多種數據類型。他教授與礦山規劃、礦產資源建模、礦機可靠性和基於視覺的在線質量監控相關的課程，並指導學生。他已為印度和美國的不同政府機構及礦業公司完成多個贊助研究和行業項目。

Chatterjee 是國際數學地球科學協會（International Associate of Mathematical Geosciences, IAMG）、礦業、冶金與勘探學會（Society for Mining, Metallurgy, and Exploration, Inc., SME）和礦業教授學會（Society of Mining Professors, SOMP）的活躍成員。他曾擔任多個國際礦業會議的共同召集人和技術委員會成員。他也是超過二十本期刊的審稿人，並於2014年獲得《數學地球科學期刊》（Mathematical Geosciences Journal）的最佳編輯審稿人獎。他是2015年在阿拉斯加費爾班克斯舉行的第37屆APCOM會議上獲得的APCOM青年專業獎的得主。他是《國際礦業、復墾與環境期刊》（International Journal of Mining, Reclamation, and Environment）和《人工智慧研究期刊》（Artificial Intelligence Research journal）的編輯委員會成員，以及《地球物理科學成果》（Results in Geophysical Sciences）的副編輯。