A family Particle Swarm Optimization based on the family tree
Abstract—A family Particle Swarm Optimization based on the family tree. The concept of the family was previously introduced into Particle Swarm Optimization (PSO). To further study the multi-group structure of the Family PSO (FPSO), this paper introduces the family tree into the FPSO. It made different families form a family tree and a swarm consisted of some family trees. In the experiment, < Final Year Projects > topological distance was used to form a family and three spatial structures of the family trees were simply defined and demonstrated in two-dimensional space. Simulations for seven benchmark functions demonstrated that two family trees in a swarm and each family had 2 particles that performed better than other combinations. Results also showed the multi-group structure of FPSO was a problem deserving of study at high-dimensional space.