Bioinspired Heuristics for Optimization
This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conf...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2019, 2019
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Series: | Studies in Computational Intelligence
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Summary: | This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners |
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Physical Description: | VIII, 314 p. 97 illus., 52 illus. in color online resource |
ISBN: | 9783319951041 |