Heuristics Metaheuristics and Approximate Methods in Planning and Scheduling is popular PDF and ePub book, written by Ghaith Rabadi in 2016, it is a fantastic choice for those who relish reading online the Heuristic algorithms genre. Let's immerse ourselves in this engaging Heuristic algorithms book by exploring the summary and details provided below. Remember, Heuristics Metaheuristics and Approximate Methods in Planning and Scheduling can be Read Online from any device for your convenience.

Heuristics Metaheuristics and Approximate Methods in Planning and Scheduling Book PDF Summary

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.

Detail Book of Heuristics Metaheuristics and Approximate Methods in Planning and Scheduling PDF

Heuristics  Metaheuristics and Approximate Methods in Planning and Scheduling
  • Author : Ghaith Rabadi
  • Release : 01 July 2024
  • Publisher : Unknown
  • ISBN : 3319260235
  • Genre : Heuristic algorithms
  • Total Page : null pages
  • Language : English
  • PDF File Size : 13,7 Mb

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