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Record Nr. |
UNINA9910768446403321 |
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Titolo |
Frontier Applications of Nature Inspired Computation / / edited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (xiii, 389 pages) : illustrations |
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Collana |
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Springer Tracts in Nature-Inspired Computing, , 2524-552X |
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Disciplina |
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Soggetti |
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Computational intelligence |
Algorithms |
Engineering—Data processing |
Mathematical optimization |
Computational Intelligence |
Algorithm Analysis and Problem Complexity |
Data Engineering |
Discrete Optimization |
Continuous Optimization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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