Optimisation inspiring from behaviour of raining in nature: droplet optimisation algorithm
by Milad Yasrebi; Arash Eskandar-Baghban; Hamid Parvin; Majid Mohammadpour
International Journal of Bio-Inspired Computation (IJBIC), Vol. 12, No. 3, 2018

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

Online publication date: Mon, 10-Sep-2018

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