Bioinspired Heuristics for Optimization

• Corporate Author: SpringerLink (Online service)
• Other Authors: Talbi, El-Ghazali (Editor, http://id.loc.gov/vocabulary/relators/edt), Nakib, Amir (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 774
• Subjects: Computational intelligence.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence.
• Physical Description: VIII, 314 p. 97 illus., 52 illus. in color. online resource.
• ISBN: 9783319951041
• ISSN: 1860-949X ;
• DOI: 10.1007/978-3-319-95104-1

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.