Frontier applications of nature inspired computation / Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu, editors.
This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of...
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Full Text (via Springer) |
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2020]
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| Series: | Springer tracts in nature-inspired computing.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Frontier applications of nature inspired computation / |c Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu, editors. |
| 264 | 1 | |a Singapore : |b Springer, |c [2020] | |
| 264 | 4 | |c ©2020. | |
| 300 | |a 1 online resource. | ||
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| 490 | 1 | |a Springer tracts in nature-inspired computing. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Nature-inspired Metaheuristic Optimization: Recent Advances and Applications -- Prediction in Nature Inspired Dynamic Optimization -- Plants Genetics Inspired Evolutionary Optimization: A Descriptive Tutorial -- Trends on fitness landscape analysis in evolutionary computation and meta-heuristics -- Lion Algorithm and its Applications -- A self-adaptive nature-inspired procedure for solving the quadratic assignment problem. | |
| 520 | |a This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the quadratic assignment problem, prediction in nature-inspired dynamic optimization, the lion algorithm and its applications, optimizing the operation scheduling of microgrids, PID controllers for two-legged robots, optimizing crane operating times, planning electrical energy distribution systems, automatic design and evaluation of classification pipelines, and optimizing wind-energy power generation plants. The book also presents a variety of nature-inspired methods and illustrates methods of adapting these to said applications. Nature-inspired computation, developed by mimicking natural phenomena, makes a significant contribution toward the solution of non-convex optimization problems that normal mathematical optimizers fail to solve. As such, a wide range of nature-inspired computing approaches has been used in multidisciplinary engineering applications. Written by researchers and developers from a variety of fields, this book presents the latest findings, novel techniques and pioneering applications. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed April 8, 2020) | |
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| 700 | 1 | |a Khosravy, Mahdi, |e editor. | |
| 700 | 1 | |a Gupta, Neeraj, |e editor. | |
| 700 | 1 | |a Patel, Nilesh, |e editor. | |
| 700 | 1 | |a Senjyu, Tomonobu, |e editor. | |
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