Optimization Techniques and their Applications to Mine Systems

This book provides a comprehensive introduction to optimization algorithms in mining engineering, covering topics such as systems engineering, linear programming, integer linear programming, transportation and assignment algorithms, network analysis, dynamic programming, queuing theory, and their applications. It also discusses reliability analysis, inventory management, and non-linear optimization, and offers software-based solutions using MATLAB®, AMPL, and LINDO. The book is designed for professionals, graduate students, and researchers in mining engineering.

Format: Hardback
Length: 390 pages
Publication date: 30 September 2022
Publisher: Taylor & Francis Ltd

This comprehensive text delves into the intricate realm of optimization algorithms, providing a systematic exploration of their fundamental principles and theoretical foundations. It encompasses a wide range of potential applications and implementation strategies within the field of mining engineering, encompassing systems engineering, linear programming, integer linear programming, transportation and assignment algorithms, network analysis, dynamic programming, queuing theory, and their profound implications for mine systems. Furthermore, the book delves into the critical aspects of reliability analysis, inventory management, and the innovative applications of non-linear optimization in mining operations. Each chapter is meticulously crafted to elucidate optimization algorithms through practical examples and numerical problems, ensuring a clear understanding of their practical applications.

Moreover, this book stands out for its integration of operations research, reliability, and cutting-edge computerized technologies into a single, authoritative volume. With a modern perspective on continuous improvement of mining systems, it offers a comprehensive review of optimization methods and algorithms applied to mining systems, including reliability analysis. The book also provides software-based solutions, such as MATLAB®, AMPL, and LINDO, enabling readers to apply these optimization techniques to real-world problems.

Designed with professionals, graduate students, and researchers in mining engineering in mind, this book serves as a valuable resource for advancing knowledge and expertise in the field. It provides a thorough foundation for understanding optimization algorithms and their applications, equipping readers with the tools necessary to optimize mine systems and drive efficiency and productivity in the mining industry.

Dimension: 254 x 178 (mm)
ISBN-13: 9781032060989