Compact Harris Hawks Optimization Algorithm

Abstract

The intelligent optimization algorithm performs well in solving complex optimization problems in engineering. However, the intelligent optimization algorithm usually takes long execution time and large memory usage, which is not suitable for the engineering with limited hardware conditions. To handle this difficulty, in this paper, a novel compact harris hawks optimization (cHHO) algorithm is proposed, which is an modified version of the harris hawks optimization (HHO) algorithm. The cHHO algorithm searches the optimal solution using only one hawk, instead of a whole swarm of hawks in the HHO algorithm, by means of the compact optimization theory. Numerical experiments based on two commonly used benchmark functions show that the execution time of the cHHO algorithm is shorter and the memory usage is smaller, comparing with the HHO algorithm and the compact particle swarm optimization algorithm. Further, the cHHO algorithm is employed to the thrust allocation of a dynamic positioning vessel, and the simulation illustrates the effectiveness of the cHHO algorithm.