Particle swarm optimization

In this paper, a multi-objective version of the recent Constraint Multi-Swarm Particle Swarm Optimization without Velocity (CMPSOWV) is developed.  With the focus on wider adoption of optimization aimed at solving multi-objective constrained engineering design problems in practice, the proposed method is implemented in the popular Grasshopper framework as a new optimization plug-in “Goldfish”.  As CMPSOWV, the MOCMPSOWV algorithm is supposed to obtain highly diversified optimization results thanks to incorporating the multi-swarm approach and the enlarged search scope for the best solution