An efficient hybrid algorithm based on harmony search and invasive weed optimization

Abstract

Considering that invasive weed optimization (IWO) algorithm and the harmony search (HS) algorithm easily plunge into local optimal solution with low computing precision when they are applied to solve complex function problems, this paper improves the IWO algorithm and the HS algorithm. We introduce some strategies such as fixing the number of seeds, reinitializing boundary solutions, multi-individual global HS, and parameter optimization, etc. In order to make full use of the advantages of two algorithms, they are mixed in this paper, whereby the IWO algorithm based on HS is put forward, which is called HS-IWO for short. Through tests on 10 complex functions, the experimental results verify the accuracy, efficiency and stabilization of the HS-IWO algorithm.