A Particle Swarm Optimization Algorithm for Solving Pricing and Lead Time Quotation in a Dual-Channel Supply Chain with Multiple Customer Classes

Table 2

A comparison between the GAMS solutions, the presented PSO algorithm, and the GA algorithm.

Problem number	N	T	Model I			Model II
			PSO	GAMS solver	GA	PSO	GAMS solver	GA
Test1	6	12	104202.90	99659.64	103960.30	131059	126182.57	131190.62
Test2	6	12	191024.60	179887.90	186743.10	204614.50	192186.88	203760.16
Test3	12	12	700107.10	656490.40	687800.42	786710.60	745207.09	784619.42
Test4	12	12	125705.30	116692.20	118314.32	135097.20	125816.00	135266.22
Test5	12	12	160890.30	139234.50	161420.60	185068.60	164681.83	186343.64
Test6	12	20	123685.50	107878.50	119659.70	129199.40	119983.29	129934.9
Test7	20	20	138419.10	No feasible	139520.10	146737.70	82849.83	147780.33
Test8	30	20	149965.6	No feasible	148832.40	156788.81	No feasible	157613.04

N: number of customer classes; T: planning periods.