Research Article

Energy-Efficient Scheduling for a Job Shop Using Grey Wolf Optimization Algorithm with Double-Searching Mode

Table 3

Comparison results for different algorithms.

IndexInstancce TLBO HGWO DMGWO
BestAvgARPDTBestAvgARPDTBestAvgARPDT

1FT06372.3400.37.5237.1372.3376.51.1313.0372.3378.31.615.5
2FT1013155.814211.849.42189.69822.710634.311.8165.09511.210260.247.8818.9
3FT2014375.417241.769.31345.611516.812552.723.2766.010183.411489.312.8221.4
4LA013963.24727.164.9780.02865.43130.99.2721.42865.43081.97.568.3
5LA023531.83956.386.4679.42121.82509.118.2521.32200.62529.219.208.0
6LA034777.25112.947.5877.03464.63908.612.8221.13744.23939.313.708.0
7LA044364.84622.558.0977.82934.23262.311.5721.02924.03115.96.568.0
8LA054547.04755.822.9381.23868.64149.47.2621.24059.64174.87.927.8
9LA068135.49242.142.62178.26942.37253.511.9340.26480.46947.07.2013.8
10LA078899.99418.745.62176.46665.37078.29.4440.36467.96803.65.1913.9
11LA087777.68474.664.56184.15381.65855.613.7040.35149.95697.110.6313.1
12LA098593.29496.061.67177.46004.56779.315.4239.65873.66257.96.5413.8
13LA109648.710303.038.17171.97456.67917.56.1839.57495.67853.45.3213.8
14LA1115544.216590.838.94333.212795.213203.210.5764.711940.612872.47.8021.2
15LA1212664.413228.842.32331.49416.69901.56.5365.79295.09974.37.3121.3
16LA1315006.215563.247.39338.810808.411580.19.6764.910559.211390.67.8721.4
17LA1417479.018805.629.54333.914517.415542.47.0665.514595.415989.210.1421.6
18LA1516251.816993.936.92334.712425.813400.67.9764.412411.413008.04.8121.8
19LA1614492.915869.332.47182.011979.813086.89.2463.111979.812690.65.9319.5
20LA1713146.614391.735.69182.910606.011490.18.3462.010606.011558.08.9818.7
21LA1812855.414588.554.68183.710241.110688.213.3362.29431.410564.012.0118.6
22LA1912475.013215.956.53185.68443.09484.712.3461.98443.09156.88.4518.6
23LA2015653.617613.832.24181.313521.814362.17.8263.113320.014149.46.2318.6
24LA2121510.922242.286.38426.611934.113853.916.09122.712320.613344.711.8234.1
25LA2221873.522429.070.34422.813476.614466.09.86116.313167.414102.67.1033.6
26LA2319924.821070.1109.50417.210311.111248.611.85117.010057.211101.710.3933.5
27LA2418822.220179.1101.28431.010271.512389.923.58119.210025.511501.114.7233.6
28LA2520193.522058.775.82419.413110.014392.614.72117.712546.113800.910.0033.6
29LA2627738.230390.699.74817.715215.017455.714.73197.715934.217142.012.6750.7
30LA2727596.230652.091.42800.316013.217738.310.77203.216796.617551.79.6150.0
31LA2828440.431144.096.00803.415889.818211.814.61203.915922.418244.714.8249.7
32LA2928901.631343.669.21790.318524.020412.410.19200.518694.220205.09.0749.3
33LA3032110.633845.369.03805.020429.021392.46.84207.120023.420896.14.3649.2
34LA3150140.754193.655.782137.136974.339046.612.24434.434787.636839.35.9088.2
35LA3255044.156783.255.992011.337168.438154.34.81444.636402.437161.42.0987.5
36LA3349378.852924.858.141674.434788.736123.57.94425.733466.235538.76.1987.4
37LA3451422.354523.560.001857.834494.437743.510.76434.034077.136436.96.9292.2
38LA3557561.159842.155.391794.140544.942996.011.64434.438511.540783.85.9093.3
39LA3643779.145924.347.81587.332033.034732.911.79251.731070.433365.97.3960.6
40LA3743986.046232.344.11596.932552.633660.84.92253.532082.332980.92.8059.9
41LA3839819.4542084.647.51634.328530.430706.17.63249.229835.130725.17.6958.8
42LA3939469.942439.575.81611.324615.926750.910.82254.424139.124966.43.4358.0
43LA4038279.040019.466.12640.324942.328096.816.63255.424091.026508.010.0358.3