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Harmony Search and Nature Inspired Optimization Algorithms : Theory and Applications, ICHSA 2018 / edited by Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Joong Hoon Kim.

Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2019 English International Available online

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Format:
Book
Contributor:
Yadav, Neha., Editor.
Yadav, Anupam., Editor.
Bansal, Jagdish Chand., Editor.
Deep, Kusum., Editor.
Kim, Joong Hoon., Editor.
Series:
Advances in Intelligent Systems and Computing, 2194-5365 ; 741
Language:
English
Subjects (All):
Computational intelligence.
Computer vision.
Data mining.
Computational Intelligence.
Computer Vision.
Data Mining and Knowledge Discovery.
Local Subjects:
Computational Intelligence.
Computer Vision.
Data Mining and Knowledge Discovery.
Physical Description:
1 online resource (1,209 pages)
Edition:
1st ed. 2019.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Summary:
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
ISBN:
981-13-0761-X

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