A novel dynamic hybrid swarm intelligence optimization algorithm is presented for flexible Job-shop Scheduling Problem, in the first stage, we make use of the dynamic multi- swarms to maintain the population diversity, in the second stage, and we make use of the chaotic operator in ABC algorithm to improve the search precision. This algorithm apply to scheduling problem directly with the novel coding mode and location updating strategy, The simulation results of some classical Job-Shop scheduling problems and instance demonstrated that the proposed algorithm could effectively overcome the earl...
