Table 6 Delay cost performance: the proposed algorithm comparing with evolutionary algorithms on smart IoT application.
Sr no. | No. of gen. | No. of runs | MOEA-D algo | NSGA-III | MOPSO algo | MOWOA algo | Proposed algo | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Worst_Delay | Mean_Delay | Worst_Delay | Mean_Delay | Worst_Delay | Mean_Delay | Worst_Delay | Mean_Delay | Worst_Delay | Mean_Delay | |||
1 | 20 | 20 | 1.738165 | 1.47862 | 1.722435 | 1.39997 | 1.753895 | 1.502215 | 1.785355 | 1.533675 | 1.643785 | 1.392105 |
2 | 40 | 20 | 1.491971 | 1.269188 | 1.478469 | 1.201678 | 1.505473 | 1.289441 | 1.532477 | 1.316445 | 1.410959 | 1.194927 |
3 | 60 | 20 | 1.245777 | 1.059756 | 1.234503 | 1.003386 | 1.257051 | 1.076667 | 1.279599 | 1.099215 | 1.178133 | 0.997749 |
4 | 80 | 20 | 0.999583 | 0.850324 | 0.990537 | 0.805094 | 1.008629 | 0.863893 | 1.026721 | 0.881985 | 0.945307 | 0.800571 |
5 | 100 | 20 | 0.753389 | 0.640892 | 0.746571 | 0.606802 | 0.760207 | 0.651119 | 0.773843 | 0.664755 | 0.712481 | 0.603393 |
6 | 120 | 20 | 0.707421 | 0.601788 | 0.701019 | 0.569778 | 0.713823 | 0.611391 | 0.726627 | 0.624195 | 0.669009 | 0.566577 |
7 | 140 | 20 | 0.661453 | 0.562684 | 0.655467 | 0.532754 | 0.667439 | 0.571663 | 0.679411 | 0.583635 | 0.625537 | 0.529761 |
8 | 160 | 20 | 0.615485 | 0.52358 | 0.609915 | 0.49573 | 0.621055 | 0.531935 | 0.632195 | 0.543075 | 0.582065 | 0.492945 |
9 | 180 | 20 | 0.569517 | 0.484476 | 0.564363 | 0.458706 | 0.574671 | 0.492207 | 0.584979 | 0.502515 | 0.538593 | 0.456129 |
10 | 200 | 20 | 0.523549 | 0.445372 | 0.518811 | 0.421682 | 0.528287 | 0.452479 | 0.537763 | 0.461955 | 0.495121 | 0.419313 |
11 | 220 | 20 | 0.477581 | 0.406268 | 0.473259 | 0.384658 | 0.481903 | 0.412751 | 0.490547 | 0.421395 | 0.451649 | 0.382497 |
12 | 240 | 20 | 0.431613 | 0.367164 | 0.427707 | 0.347634 | 0.435519 | 0.373023 | 0.443331 | 0.380835 | 0.408177 | 0.345681 |
13 | 260 | 20 | 0.385645 | 0.32806 | 0.382155 | 0.31061 | 0.389135 | 0.333295 | 0.396115 | 0.340275 | 0.364705 | 0.308865 |
14 | 280 | 20 | 0.339677 | 0.288956 | 0.336603 | 0.273586 | 0.342751 | 0.293567 | 0.348899 | 0.299715 | 0.321233 | 0.272049 |
15 | 300 | 20 | 0.293709 | 0.249852 | 0.291051 | 0.236562 | 0.296367 | 0.253839 | 0.301683 | 0.259155 | 0.277761 | 0.235233 |
16 | 320 | 20 | 0.247741 | 0.210748 | 0.245499 | 0.199538 | 0.249983 | 0.214111 | 0.254467 | 0.218595 | 0.234289 | 0.198417 |
17 | 340 | 20 | 0.201773 | 0.171644 | 0.199947 | 0.162514 | 0.203599 | 0.174383 | 0.207251 | 0.178035 | 0.190817 | 0.161601 |
18 | 360 | 20 | 0.183872 | 0.156416 | 0.182208 | 0.148096 | 0.185536 | 0.158912 | 0.188864 | 0.16224 | 0.173888 | 0.147264 |
19 | 380 | 20 | 0.172601 | 0.146828 | 0.171039 | 0.139018 | 0.174163 | 0.149171 | 0.177287 | 0.152295 | 0.163229 | 0.138237 |
20 | 400 | 20 | 0.159341 | 0.135548 | 0.157899 | 0.128338 | 0.160783 | 0.137711 | 0.163667 | 0.140595 | 0.150689 | 0.127617 |
21 | 420 | 20 | 0.151827 | 0.129156 | 0.150453 | 0.122286 | 0.153201 | 0.131217 | 0.155949 | 0.133965 | 0.143583 | 0.121599 |
22 | 440 | 20 | 0.146744 | 0.124832 | 0.145416 | 0.118192 | 0.148072 | 0.126824 | 0.150728 | 0.12948 | 0.138776 | 0.117528 |
23 | 460 | 20 | 0.146302 | 0.124456 | 0.144978 | 0.117836 | 0.147626 | 0.126442 | 0.150274 | 0.12909 | 0.138358 | 0.117174 |
24 | 480 | 20 | 0.146081 | 0.124268 | 0.144759 | 0.117658 | 0.147403 | 0.126251 | 0.150047 | 0.128895 | 0.138149 | 0.116997 |
25 | 500 | 20 | 0.146081 | 0.124268 | 0.144759 | 0.117658 | 0.147403 | 0.126251 | 0.150047 | 0.128895 | 0.138149 | 0.116997 |