Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Population-Based Approaches to the Resource-Constrained and Discrete-Continuous Scheduling by Aleksander Skakovski, Ewa Ratajczak-Ropel, Springer International Publishing
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Author: Aleksander Skakovski, Ewa Ratajczak-Ropel ISBN: 9783319628936
Publisher: Springer International Publishing Publication: August 21, 2017
Imprint: Springer Language: English
Author: Aleksander Skakovski, Ewa Ratajczak-Ropel
ISBN: 9783319628936
Publisher: Springer International Publishing
Publication: August 21, 2017
Imprint: Springer
Language: English

This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration.

The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.

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This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling. The first part of the book discusses problems belonging to the first class, while the second part deals with problems belonging to the second class. Both parts together offer valuable insights into the possibility of implementing modern techniques and tools with a view to obtaining high-quality solutions to practical and, at the same time, computationally difficult problems. It offers a valuable source of information for practitioners dealing with the real-world scheduling problems in industry, management and administration.

The authors have been working on the respective problems for the last decade, gaining scientific recognition through publications and active participation in the international scientific conferences, and their results are obtained using population-based methods. Dr E. Ratajczk-Ropel explores multiple agent and A-Team concepts, while Dr A. Skakovski focuses on evolutionary algorithms with a particular focus on the population learning paradigm.

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