A hybrid discrete particle swarm optimization(DPSO) algorithm is proposed for heterogeneous parallel system
to get the minimal completion time and the optimal load balancing, in which the Sufferage algorithm is introduced to
optimize the position and velocity model of DPSO and improve the DPSO ability. Compared with the standard generation
algorithm(GA) and single DPSO algorithm, simulation results show that, the modified DPSO is better in efficiency and
searching ability and can get a good load balance.