An Improved Chicken Swarm Optimization Algorithm for Solving Multimodal Optimization Problems

Table 2

The experimental results via different P_ed.

Functions	f3	f6	f20	f27
	300	600	2000	2700
Ped = 0.05	300.1282	600.7110	2.0077e + 03	2.8786e + 03
	0.1282	0.7110	7.7	178.6
Ped = 0.25	300.0813	600.7149	2.0053e + 03	2.8314e + 03
	0.0813	0.7149	5.3	131.4
Ped = 0.45	300.1122	600.8051	2.0068e + 03	2.8911e + 03
	0.1122	0.8051	6.8	191.1
Ped = 0.65	300.1803	600.8868	2.0075e + 03	2.8463e + 03
	0.1803	0.8868	7.5	146.3
Ped = 0.85	300.1330	601.0191	2.0074e + 03	2.8795e + 03
	0.1330	1.0191	7.4	179.5