Frontier Applications of Nature Inspired Computation / / edited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu
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| Titolo: |
Frontier Applications of Nature Inspired Computation / / edited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (xiii, 389 pages) : illustrations |
| Disciplina: | 006.38 |
| Soggetto topico: | Computational intelligence |
| Algorithms | |
| Engineering—Data processing | |
| Mathematical optimization | |
| Computational Intelligence | |
| Algorithm Analysis and Problem Complexity | |
| Data Engineering | |
| Discrete Optimization | |
| Continuous Optimization | |
| Persona (resp. second.): | KhosravyMahdi |
| GuptaNeeraj | |
| PatelNilesh | |
| SenjyuTomonobu | |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Frontier Applications of Nature Inspired Computation |
| ISBN: | 981-15-2133-6 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910768446403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer Tracts in Nature-Inspired Computing, . 2524-552X