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
Contributor(s): SpringerLink (Online service)
| Yadav, Neha., editor literario | Yadav, Anupam., editor literario | Bansal, Jagdish Chand, editor literario | Deep, Kusum, editor literario | Kim, Joong Hoon., editor literario
Series: (Advances in Intelligent Systems and Computing, 2194-5357; 741); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: 1 recurso en línea (XXII, 1238 páginas) : 410 ilustraciones, 265 ilustraciones a color.ISBN: 9789811307614.Subject: Algoritmos computacionales | Algoritmos bioinspiradosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9 .A43 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks26062183 |
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.
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