Nature-Inspired Algorithms and Applied Optimization

• Corporate Author: SpringerLink (Online service)
• Other Authors: Yang, Xin-She (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Computational Intelligence, 744
• Subjects: Computational intelligence.; Artificial intelligence.; Algorithms.; Mathematical optimization.; Computational Intelligence.; Artificial Intelligence.; Optimization.

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies...