Particle Swarm Optimization Algorithm Based on Information Sharing in Industry 4.0

Intelligent manufacturing is an important part of Industry 4.0; artificial intelligence technology a necessary means to realize intelligent manufacturing. This requires the exploration pattern recognition, computer vision, optimization, and other related technologies. Particle swarm optimization (PSO) algorithm inspired by foraging behavior birds. PSO was efficient verified lot research experiments. In this paper, traditional compared with genetic algorithms (GA) illustrate performance algorithm. By analyzing advantages disadvantages algorithm, improved through introducing into sharing information mechanism competition strategy, called based (IPSO). The novel IPSO rapid convergence speed similar enhanced global search capability. Our experimental results show that has better than GA on benchmark functions, especially for difficult functions.