  In this paper, a new meta-heuristic algorithm, called beetle swarm
optimization algorithm, is proposed by enhancing the performance of swarm
optimization through beetle foraging principles. The performance of 23
benchmark functions is tested and compared with widely used algorithms,
including particle swarm optimization algorithm, genetic algorithm (GA) and
grasshopper optimization algorithm . Numerical experiments show that the beetle
swarm optimization algorithm outperforms its counterparts. Besides, to
demonstrate the practical impact of the proposed algorithm, two classic
engineering design problems, namely, pressure vessel design problem and
himmelblaus optimization problem, are also considered and the proposed beetle
swarm optimization algorithm is shown to be competitive in those applications.
