Download PDF, EPUB, Kindle Multimodal Optimization by Means of Evolutionary Algorithms 2015
Download PDF, EPUB, Kindle Multimodal Optimization by Means of Evolutionary Algorithms 2015
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Author: Mike Preuß
Page Count: 209 pages
Published Date: 04 Dec 2015
Publisher: Springer International Publishing AG
Publication Country: Cham, Switzerland
Language: English
ISBN: 9783319074061
File size: 11 Mb
File Name: Multimodal.Optimization.by.Means.of.Evolutionary.Algorithms.2015.pdf
Download Link: Multimodal Optimization by Means of Evolutionary Algorithms 2015
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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.
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Multimodal Optimization by Means of Evolutionary Algorithms 2015. Mike Preuß
Author: Mike Preuß
Page Count: 209 pages
Published Date: 04 Dec 2015
Publisher: Springer International Publishing AG
Publication Country: Cham, Switzerland
Language: English
ISBN: 9783319074061
File size: 11 Mb
File Name: Multimodal.Optimization.by.Means.of.Evolutionary.Algorithms.2015.pdf
Download Link: Multimodal Optimization by Means of Evolutionary Algorithms 2015
---------------------------------------------------------------
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.
Read online Multimodal Optimization by Means of Evolutionary Algorithms 2015 Buy and read online Multimodal Optimization by Means of Evolutionary Algorithms 2015 Download Multimodal Optimization by Means of Evolutionary Algorithms 2015 ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent Download to iPad/iPhone/iOS, B&N nook Multimodal Optimization by Means of Evolutionary Algorithms 2015
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