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Metaheuristics and Optimization in Computer and Electrical Engineering / edited by Navid Razmjooy, Mohsen Ashourian, Zahra Foroozandeh.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in electrical engineering 1876-1119 ; 696
- Lecture Notes in Electrical Engineering, 1876-1119 ; 696
- Language:
- English
- Subjects (All):
- Electrical engineering.
- Artificial intelligence.
- Computational intelligence.
- Electrical and Electronic Engineering.
- Artificial Intelligence.
- Computational Intelligence.
- Local Subjects:
- Electrical and Electronic Engineering.
- Artificial Intelligence.
- Computational Intelligence.
- Physical Description:
- 1 online resource (VIII, 311 pages) : 121 illustrations, 83 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- The use artificial intelligence, especially in the field of optimization are increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.
- Contents:
- Design of Collaboration Engine for Large-Scale Heterogeneous Clusters
- Design of Collaboration Engine for Large-Scale Heterogeneous Clusters
- HSO Algorithm for RRAP Problem in 3-state Device Network
- A Method of Service Function Chain Arrangement for Load Balancing
- Droop Control of Microgrid Based on Genetic Optimization Algorithm.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-56689-0
- 9783030566890
- Access Restriction:
- Restricted for use by site license.
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