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Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications

Om Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications

The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International Conference on Harmony Search, Soft Computing and Applications held at Virtual Conference, Seoul, South Korea, in February 2022. Harmony search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book 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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9789811929472
  • Bindende:
  • Hardback
  • Sider:
  • 540
  • Utgitt:
  • 2. september 2022
  • Utgave:
  • 22001
  • Dimensjoner:
  • 160x33x241 mm.
  • Vekt:
  • 1067 g.
  Gratis frakt
Leveringstid: Ukjent

Beskrivelse av Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications

The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International Conference on Harmony Search, Soft Computing and Applications held at Virtual Conference, Seoul, South Korea, in February 2022. Harmony search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book 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.

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