A Novel Lightweight Multi-Strategy Particle Swarm Optimization

Meta-heuristic algorithms require a large amount of computational memory. The use of probabilistic models has been suggested as an alternative to the compact method of particles. In this study, a novel lightweight multi-strategy particle swarm algorithm is proposed. The use of a new probabilistic model is proposed to replace the commonly used normal distribution. The proposed lightweight algorithm is evaluated on the CEC2014 test set with excellent results.