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Xiao Liu PhD Thesis.pdf - Faculty of Information and Communication ...

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(a) Optimisation Ratio on Total (b) Total Makespan for Each Round <strong>of</strong><br />

Makespan<br />

Experiment<br />

Figure 8.8 Optimisation on Total Makespan<br />

The results <strong>of</strong> optimisation ratio on cost are presented in Figure 8.9. Figure 8.9(a)<br />

depicts the optimisation ratio on total cost for the total 10 rounds <strong>of</strong> experiments.<br />

For ACO, the maximum, minimum <strong>and</strong> mean optimisation ratios for cost are 23.0%,<br />

1.0% <strong>and</strong> 13.4% respectively. As for GA, the maximum, minimum <strong>and</strong> mean<br />

optimisation ratios for makespan are 4.0%, 1.0% <strong>and</strong> 2.3% respectively. Unlike the<br />

optimisation ratio on makespan, the results <strong>of</strong> GA <strong>and</strong> ACO are very different where<br />

ACO significantly outperforms GA.<br />

Figure 8.9 (b) depicts the best total cost for each round <strong>of</strong> experiment measured<br />

in basic cost units, <strong>and</strong> the average total cost for the c<strong>and</strong>idates generated by GA is<br />

also shown in the figure for the comparison purpose. It can be easily seen that the<br />

total cost for each round <strong>of</strong> experiment is increasing rapidly with the growing<br />

number <strong>of</strong> activities. However, there is a small decline at the last round. This is<br />

mainly because the different settings for the activities <strong>and</strong> resources as in Table 8.1,<br />

the total cost for each round is not simply increase in a linear way. Meanwhile, the<br />

best total cost for the c<strong>and</strong>idates generated by GA <strong>and</strong> ACO in each round is very<br />

close at the beginning but the difference is becoming larger when the number <strong>of</strong><br />

activities grows.<br />

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