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

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (1,209 pages)
• Disciplina: 005.1
• Soggetto topico: Engineering; Computer vision; Data mining; Computational Intelligence; Image Processing and Computer Vision; Data Mining and Knowledge Discovery
• Persona (resp. second.): YadavNeha; YadavAnupam; BansalJagdish Chand; DeepKusum; KimJoong Hoon
• Sommario/riassunto: 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.
• Titolo autorizzato: Harmony Search and Nature Inspired Optimization Algorithms
• ISBN: 981-13-0761-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484451903321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 741