Research Article

Dynamic Multiobjective Software Project Scheduling Optimization Method Based on Firework Algorithm

Table 4

Comparison of the Pareto optimal fronts obtained by two methods.

Instance C(IFA-R,IFA-N) versus C(IFA-N,IFA-R) (IFA-R,IFA-N)
p-valuesign

T10_12.09E-4+0.31%0.66%3.56%2.40%
T10_20.0420+2.22%2.97%2.64%0.26%
T10_33.53E-6+0.64%1.70%5.49%2.78%
T10_40.0589=-1.21-2.426.34%0.53%
T10_55.54E-6+1.04%0.57%3.79%1.62%
T10_67.13E-4+2.99%-5.344.58%4.61%
T10_70.17600=-1.600.61%4.43%2.29%
T10_80.00753+-0.600.96%0.92%3.46%
T10_90.00685+1.33%2.21%3.55%0.24%
T10_101.14E-5+1.81%2.26%1.29%1.41%

T20_12.43E-8+6.44%2.52%3.56%7.98%
T20_24.29E-4+5.54%7.90%2.64%6.34%
T20_30.00299+-2.071.77%5.49%2.21%
T20_47.16E-4+5.70%13.07%6.34%3.98%
T20_50.06210=-2.60-0.123.79%2.99%
T20_64.09E-5+2.52%-4.274.58%4.83%
T20_70.00860+3.50%5.77%4.43%1.14%
T20_82.53E-5+1.10%3.56%0.92%3.31%
T20_93.58E-4+-0.095.26%3.55%5.40%
T20_100.0647=-1.494.701.29%1.19%

T30_10.0121+15.82%17.93%3.56%9.84%
T30_20.0115+5.43%3.38%2.64%5.37%
T30_38.21E-4+8.38%14.93%5.49%13.31%
T30_40.25300=6.78%-4.636.34%3.76%
T30_50.04040+3.53%7.87%3.79%5.16%
T30_65.35E-4+0.02%-1.384.58%6.85%
T30_79.51E-4+1.80%3.84%4.43%12.70%
T30_85.57E-4+3.53%-5.210.92%3.39%
T30_90.03400+-0.41-0.063.55%4.32%
T30_100.03900+9.57%13.23%1.29%3.94%

Real_19.91E-5+3.52%-0.970.46%5.12%
Real_23.61E-4+9.07%11.3%2.19%8.34%
Real_30.00881+5.18%6.62%3.67%12.7%