Can I read Multimodal Optimization by Means of Evolutionary Algorithms (Natural Computing Series) on EtoBox?

Multimodal Optimization by Means of Evolutionary Algorithms (Natural Computing Series) by Mike Preuss (auth.) is a nonfiction available to read on EtoBox.

What is Multimodal Optimization by Means of Evolutionary Algorithms (Natural Computing Series) about?

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.

Who reads Multimodal Optimization by Means of Evolutionary Algorithms (Natural Computing Series)?

Author

Mike Preuss (auth.)

Publisher

Springer International Publishing : Imprint: Springer

Published

2015

Language

EN

ISBN

9783319074078

Category

nonfiction

Subjects

Engineering, Mathematics, Science