Automated Scheduling and Planning: From Theory to Practice

丛 书 名：Studies in Computational Intelligence 505

版本说明：1

作     者：Jason A. D. Atkin (auth.), A. Sima Uyar, Ender Ozcan, Neil Urquhart (eds.) 

I S B N：(纸本) 9783642393037;9783642393044 

出 版 社：Springer-Verlag Berlin Heidelberg 

出 版 年：2013年

页      数：311页

主 题 词：Computer scheduling. Scheduling 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 080201[工学-机械制造及其自动化] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Solving scheduling problems has long presented a challenge for computer scientists and operations researchers. The field continues to expand as researchers and practitioners examine ever more challenging problems and develop automated methods capable of solving them. This book provides 11 case studies in automated scheduling, submitted by leading researchers from across the world. Each case study examines a challenging real-world problem by analysing the problem in detail before investigating how the problem may be solved using state of the art techniques. The areas covered include aircraft scheduling, microprocessor instruction scheduling, sports fixture scheduling, exam scheduling, personnel scheduling and production scheduling. Problem solving methodologies covered include exact as well as (meta)heuristic approaches, such as local search techniques, linear programming, genetic algorithms and ant colony optimisation. The field of automated scheduling has the potential to impact many aspects of our lives and work; this book highlights contributions to the field by world class researchers.