Nature-Inspired Metaheuristic Algorithms: Second Edition

By Xin-She Yang. 2010

473 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a965845f1dce0d0755f8c04d8ef8b7b1a3280503

Citations in the corpus

• Bat algorithm for multi-objective optimisation (2011, methodology): “For example, a new cuckoo search algorithm was developed by Xin-She Yang and Suash Deb (2009) and more detailed studies by the same authors (Yang and Deb, 2010a) suggested that it is very efficient for solving nonlinear engineering design problems.”
• Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach (2019, unknown): “Nature-inspired metaheuristics [35] are simple, efficient and adaptable optimization algorithms.”
• The Social Engineering Optimizer (SEO) (2018, unknown): “In SA, the intensification phase is done by neighboring whereas the”