[Retracted] An Improved Differential Evolution Solution for Software Project Scheduling Problem

Table 5

Comparison between the IDE, PSO, and DE algorithms to SPSP.

Group	Instance	Algorithms	Success rate	Simulation time	Optimum cost	Optimum fitness
TM2		IDE-SPSP	100	13.2287	1000	0.2059
		DE	95	13.5566	1000	0.2251
		PSO	92	14.2710	1000	0.2296
		IDE-SPSP	98	14.4430	1150	0.2324
		DE	90	14.6075	1150	0.2996
		PSO	87	14.7836	1153	0.3045
		IDE-SPSP	100	15.0707	1200	0.3130
		DE	92	15.0777	1200	0.3422
		PSO	88	15.3337	1225	0.3494
TM3		IDE-SPSP	100	16.0039	1350	0.3670
		DE	96	16.7033	1362	0.3899
		PSO	92	16.8067	1365	0.4077
		IDE-SPSP	98	16.9191	1600	0.4117
		DE	92	17.1127	1600	0.4165
		PSO	91	17.5918	1612	0.4305
		IDE-SPSP	100	17.8042	2200	0.4346
		DE	92	17.9420	2200	0.4578
		PSO	91	18.2511	2209	0.4649
TM4		IDE-SPSP	97	18.3247	2450	0.4839
		DE	93	18.5440	2556	0.4899
		PSO	89	18.6358	2562	0.4914
		IDE-SPSP	97	19.1534	2600	0.5014
		DE	92	19.3618	2612	0.5203
		PSO	87	19.3947	2625	0.5307
TM5		IDE-SPSP	97	19.5465	2800	0.5404
		DE	93	19.8817	2800	0.5802
		PSO	87	19.9213	2805	0.5917
		IDE-SPSP	95	20.0979	3000	0.5971
		DE	90	20.6116	3005	0.6469
		PSO	87	20.8177	3009	0.6942