ABSTRACT Swarm Intelligence is the collective behavior of decentralized, self-organized systems. Swarm intelligence has emerged as a new-generation methodology belonging to the class of evolutionary computing and that evolutionary computation inspired from biological. The problems inindustry can be formulated as scheduling, planning, predicting, and optimization problems, where evolutionary computation methods can play a vital role. Although evolutionary computation has been applied to scheduling and planning for systems and manufacturing, other problems in the industry like decision-making in computer-aided diagnosis and prediction have not been properly formulated for evolutionary computation techniques, and many evolutionary computation techniques are not well known to the industry community. The concluding takes on these discoveries is that, collective intelligence distributed among simple bots can achieve state of the art results in the future of industry. In this work we presented brief review of Evolutionary Swarm Intelligence Algorithms. Keywords: Swarm Intelligence (SI), Evolutionary Algorithms, Swarm Robots, ACO, PSO, RSO, GSA, KH, SDS, BA, IWD, FSA, AIS.