On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization

Table 9

Different values of parameter 𝛿 and respective mean best fitness for Griewank test problem.

𝛿	Dimension 10		Dimension 30		Dimension 50
	Size = 20	Size = 30	Size = 20	Size = 30	Size = 20	Size = 30
1.0	9.913𝑒−02	9.125𝑒−02	1.157𝑒+01	5.607𝑒+00	6.269𝑒+01	3.941𝑒+01
0.75	9.645𝑒−02	8.825𝑒−02	3.088𝑒+00	1.451𝑒−02	1.519𝑒+01	6.875𝑒+00
0.5	9.983𝑒−02	9.018𝑒−02	1.972𝑒−01	1.601𝑒−02	2.003𝑒+00	5.522𝑒−01
0.25	1.002𝑒−01	𝟐.𝟗𝟐𝟓𝐞−𝟎𝟐	1.602𝑒−02	1.458𝑒−02	1.200𝑒−02	9.885𝑒−03
0.15	9.772𝑒−02	9.276𝑒−02	1.556𝑒−02	1.450𝑒−02	9.925𝑒−03	8.654𝑒−03
0.1	1.044𝑒−01	9.141𝑒−02	1.489𝑒−02	1.564𝑒−02	1.027𝑒−02	9.339𝑒−03
0.075	1.064𝑒−01	1.006𝑒−01	1.328𝑒−02	1.389𝑒−02	8.937𝑒−03	7.963𝑒−03
0.05	1.011𝑒−01	9.417𝑒−02	1.521𝑒−02	1.580𝑒−02	8.224𝑒−03	7.821𝑒−03
0.025	9.682𝑒−02	8.738𝑒−02	1.604𝑒−02	1.668𝑒−02	7.108𝑒−03	7.354𝑒−03
0.015	𝟗.𝟎𝟐𝟖𝐞−𝟎𝟐	8.648𝑒−02	1.379𝑒−02	1.444𝑒−02	5.719𝑒−03	6.226𝑒−03
0.01	1.274𝑒−01	1.265𝑒−01	1.148𝑒−02	1.141𝑒−02	5.005𝑒−03	4.768𝑒−03
0.0075	2.251𝑒−01	2.078𝑒−01	𝟕.𝟏𝟔𝟎𝐞−𝟎𝟑	𝟕.𝟓𝟗𝟓𝐞−𝟎𝟑	4.237𝑒−03	𝟒.𝟎𝟐𝟏𝐞−𝟎𝟑
0.005	5.546𝑒−01	3.751𝑒−01	8.006𝑒−03	8.030𝑒−03	𝟒.𝟎𝟐𝟓𝐞−𝟎𝟑	4.526𝑒−03
0.0025	1.258𝑒+00	6.833𝑒−01	1.203𝑒−02	1.218𝑒−02	6.808𝑒−03	6.013𝑒−03
0.0015	1.895𝑒+01	9.642𝑒−01	1.415𝑒−02	1.434𝑒−02	7.226𝑒−03	7.419𝑒−03
0.001	4.061𝑒+00	2.083𝑒+00	1.366𝑒−02	1.622𝑒−02	7.184𝑒−03	7.462𝑒−03