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Harmony Search and Nature Inspired Optimization Algorithms: Theory and Applications, ICHSA 2018 de Neha Yadav

Harmony Search and Nature Inspired Optimization Algorithms: Theory and Applications, ICHSA 2018: Advances in Intelligent Systems and Computing, cartea 741

Editat de Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Joong Hoon Kim
en Limba Engleză Paperback – 24 aug 2018
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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Specificații

ISBN-13: 9789811307607
ISBN-10: 9811307601
Pagini: 580
Ilustrații: XXII, 1238 p. 410 illus., 265 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 mm
Greutate: 1.77 kg
Ediția:1st ed. 2019
Editura: Springer Nature Singapore
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Singapore, Singapore

Notă biografică

Dr. Neha Yadav is a research professor at the Department of Civil, Environmental and Architectural Engineering at Korea University, South Korea. She received her Ph.D. from Motilal Nehru National Institute of Technology, Allahabad, India, M.Sc. in Mathematical Sciences from Banasthali University, Jaipur and B.Sc. in Mathematics from Dr. R.M.L. Awadh University, Faizabad in 2013, 2009 and 2007, respectively. Her research interests are real-time flood forecasting, mathematical modeling, numerical analysis, soft computing techniques, differential equations, boundary value problems, mathematical modeling, and optimization. Dr. Yadav has published several journal papers and 1 book. 
Dr. Anupam Yadav is an assistant professor of Mathematics at the National Institute of Technology Uttarakhand. His research areas are numerical optimization, high-order graph matching, and operations research. He received his Ph.D. from the Indian Institute of Technology Roorkee, India and M.Sc. inMathematics from Banaras Hindu University, Varanasi, India. He has published 1 book, 1 book chapter and several journal and conference papers, and has given a number of invited talks. 
Dr. Jagdish Chand Bansal is an assistant professor at the South Asian University, New Delhi, India. He is leading researcher in the field of swarm intelligence and has published several research papers in respected national and international repute journals. 
Prof. Kusum Deep is a full-time professor at the Department of Mathematics, Indian Institute of Technology Roorkee, India. Over the last 25 years, her much-cited research is increasingly has made her a leading international figure in the area of nature-inspired optimization techniques, genetic algorithms and particle swarm optimization. 
Prof. Joong Hoon Kim is associated with the School of Civil, Environmental and Architectural Engineering, Korea University, South Korea. His major areas of interest includeoptimal design and management of water distribution systems, application of optimization techniques to various engineering problems, and development and application of evolutionary algorithms. He has published 216 Journal publications, 262 conference proceedings, and several books/book chapters, including “A New Heuristic Optimization Algorithm: Harmony Search”, Simulation, February 2001, Vol. 76, pp 60–68, which has been cited over 2,500 times by other journals in diverse research areas.

Textul de pe ultima copertă

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.

Caracteristici

Includes novel and newly proposed optimization algorithms Presents numerically established results of nature-inspired optimization algorithms Features real-world applications of optimization algorithms