Multimodal Optimization by Means of Evolutionary Algorithms / / by Mike Preuss
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Preuss Mike
|
| Titolo: |
Multimodal Optimization by Means of Evolutionary Algorithms / / by Mike Preuss
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Edizione: | 1st ed. 2015. |
| Descrizione fisica: | 1 online resource (206 p.) |
| Disciplina: | 006.336 |
| Soggetto topico: | Algorithms |
| Computational intelligence | |
| Mathematical optimization | |
| Computational Intelligence | |
| Optimization | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Introduction: Towards Multimodal Optimization -- Experimentation in Evolutionary Computation -- Groundwork for Niching -- Nearest-Better Clustering -- Niching Methods and Multimodal Optimization Performance -- Nearest-Better Based Niching. |
| Sommario/riassunto: | This book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he examines their suitability for use as diagnostic tools for experimental analysis, especially for detecting problem (type) properties; and he measures and compares the performances of niching and canonical EAs using different benchmark test problem sets. His work consolidates the recent successes in this domain, presenting and explaining use cases, algorithms, and performance measures, with a focus throughout on the goals of the optimization processes and a deep understanding of the algorithms used. The book will be useful for researchers and practitioners in the area of computational intelligence, particularly those engaged with heuristic search, multimodal optimization, evolutionary computing, and experimental analysis. |
| Titolo autorizzato: | Multimodal Optimization by Means of Evolutionary Algorithms |
| ISBN: | 3-319-07407-5 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910734094603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Natural Computing Series, . 2627-6461