Harmony Search and Nature Inspired Optimization Algorithms Book Reviews
Harmony Search and Nature Inspired Optimization Algorithms by Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep & Joong Hoon Kim Book 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 7β9, 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.
Book Name | Harmony Search and Nature Inspired Optimization Algorithms |
Genre | Engineering |
Author | Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep & Joong Hoon Kim |
Published | 23 August 2018, Thursday |
Language | English |
E-Book Size | 38.33 MB |
Harmony Search and Nature Inspired Optimization Algorithms (Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep & Joong Hoon Kim) Book Reviews 2024
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Download Link | Book Format |
harmony-search-and-nature-inspired-optim-ebook.pdf | |
harmony-search-and-nature-inspired-optim-ebook.epub | EPUB |
harmony-search-and-nature-inspired-optim-ebook.kindle | KINDLE |
Harmony Search and Nature Inspired Optimization Algorithms E-book (PDF, PUB, KINDLE) Download
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Summary of Harmony Search and Nature Inspired Optimization Algorithms by Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep & Joong Hoon Kim
The Harmony Search and Nature Inspired Optimization Algorithms book written by Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep & Joong Hoon Kim was published on 23 August 2018, Thursday in the Engineering category. A total of 196 readers of the book gave the book 0 points out of 5.
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Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep & Joong Hoon Kim - Harmony Search and Nature Inspired Optimization Algorithms Discussions & Comments
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