Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Editors: Rabadi, Ghaith (Ed.)
First book to examine developments in the use of heuristics in scheduling problems since 1993
Considers problems in manufacturing, services, and healthcare
Contributors include some of the most prominent names in the field

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

Number of Illustrations and Tables
23 illus., 25 in colour
Topics
Operation Research/Decision Theory
Supply Chain Management
Logistics
Operations Research, Mathematical Programming

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