Cluster-Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants

Table 4

Result of mean convergence and diversity.

Metric		Mean convergence ()			Mean diversity (Δ)
Population size	Maximal archive size	MOPSO	CMOPSO-X	CMOPSO-OBJ	MOPSO	CMOPSO-X	CMOPSO-OBJ
1,000	10	0.12367	0.10446	0.11555	0.01301	0.01256	0.00831
1,000	50	0.11995	0.11077	0.11224	0.00562	0.00238	0.00292
1,000	100	0.12222	0.11050	0.11155	0.00380	0.00252	0.00405
10,000	10	0.09087	0.07410	0.09292	0.01353	0.00611	0.01001
10,000	50	0.09529	0.07598	0.08894	0.00387	0.00053	0.00293
10,000	100	0.09525	0.08335	0.08869	0.00176	0.00026	0.00235
50,000	10	0.07015	0.05973	0.09220	0.00784	0.00563	0.01140
50,000	50	0.07427	0.05064	0.07728	0.00274	0.00067	0.00173
50,000	100	0.07416	0.06050	0.07835	0.00142	0.00023	0.00210

The bold values are the lowest values (best performance) among the three compared methods in each iteration.