Particle genetic algorithm optimization method, device and system based on time load balancing

The invention belongs to the technical field of computers, in particular to a particle genetic algorithm optimization method, device and system based on time load balancing. The particle genetic algorithm optimization method based on the time load balancing comprises the following steps that: constructing a particle population; updating the position and the speed of each particle, setting iterations, and obtaining a particle individual optimal position and a particle global optimal position which achieve set iterations; and carrying out an interlace operation and a mutation operation on the particle population to obtain a final particle individual optimal position and a final particle global optimal position. The particle genetic algorithm optimization device based on the time load balancing comprises a construction module, an update module and a cross mutation module. The particle genetic algorithm optimization system based on the time load balancing comprises a plurality of node servers and at least one ter