说明：  本书总结了遗传算法在工业工程相关领域应用的前沿进展。全书共分9章：遗传算法基础、组合优化问题、多目标优化问题、模糊优化问题、可靠性设计问题、调度问题、高级运输问题、网络设计与路径问题和制造元设计问题。内容既涵盖了遗传算法在传统优化问题中的新进展，又涉及了目前在供应链和物流研究中相当热门的话题。本书论述严谨、深入浅出，并有大量图形和表格，便于读者深入理解其内容。 本书可供高等院校或科研机构相关专业的高年级本科生，研究生、教师和研究人员参考。
(This book summarizes the advances in the application of genetic algorithms in industrial engineering related fields. The book is divided into nine chapters: the basis of genetic algorithm, combinatorial optimization problem, multi-objective optimization problem, fuzzy optimization problem, reliability design problem, scheduling problem, advanced transportation problem, network design and path problem, and manufacturing element design problem. The content not only covers the new progress of genetic algorithm in the traditional optimization problem, but also touches on the hot topic in the research of supply chain and logistics. This book is rigorous, simple, and has a large number of graphics and tables to facilitate the reader to understand its content. This book is for reference by senior undergraduates, graduate students, teachers and researchers of relevant majors in institutions of higher learning or scientific research institutions.)