A novel meta-heuristic optimization method for global numerical optimization

摘要

In this paper one of these methods has been proposed called droplet optimization algorithm (DOA). DOA emulates rainfall phenomenon. It employs some special operators to describe the droplet process, including droplet generation, droplet fall, droplet collision, droplet owing and droplet updating. To compare performance of this algorithm against those of some up-to-dated optimization algorithms, all of the CEC 2005 contest benchmark functions have been employed. The experimental results have proven that DOA superior to all basic optimization algorithms and also some up-to-dated optimization algorithms.