Exploring Performance Nuances of Computational Intelligence-Based Optimization Algorithms through Hydrological Benchmarking

Abstract

AbstractWith the rise of a new era marked by computational and artificial intelligence, it is imperative to undertake to critically evaluate these paradigms to assess their reliability. Computational intelligence (CI)-based optimization algorithms, in ...Practical ApplicationsOptimization algorithms inspired by artificial intelligence are increasingly used in water and hydrological engineering to improve decision making and system performance. However, many of these algorithms have only been tested in ...