ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
ดาวน์โหลด All Proceeding - AS Nida
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Table 3: Results of φ p optimality criteria where d = 2, 5, 7, 10 and 15<br />
d n Algorithms Min Max Mean SD F-test P-value Best choice<br />
2 9<br />
5 51<br />
7 99<br />
10 201<br />
15 451<br />
GA1SO<br />
GA1AO<br />
GA2SO<br />
GA2AO<br />
GA1SO<br />
GA1AO<br />
GA2SO<br />
GA2AO<br />
GA1SO<br />
GA1AO<br />
GA2SO<br />
GA2AO<br />
GA1SO<br />
GA1AO<br />
GA2SO<br />
GA2AO<br />
GA1SO<br />
GA1AO<br />
GA2SO<br />
GA2AO<br />
4.2735<br />
4.3642<br />
4.2735<br />
4.3446<br />
5.7029<br />
5.9330<br />
6.2265<br />
6.2214<br />
6.0123<br />
6.2334<br />
6.2964<br />
6.3175<br />
6.3706<br />
6.4583<br />
6.5072<br />
6.2608<br />
6.8989<br />
6.9161<br />
6.9377<br />
6.9454<br />
4.3891<br />
4.9143<br />
4.6841<br />
4.5595<br />
5.7612<br />
6.1334<br />
6.3219<br />
6.3341<br />
6.0536<br />
6.2977<br />
6.3955<br />
6.3176<br />
6.3961<br />
6.4933<br />
6.5440<br />
6.4002<br />
6.9110<br />
6.9362<br />
6.9511<br />
6.9609<br />
4.3521<br />
4.5974<br />
4.4502<br />
4.4390<br />
5.7460<br />
6.0596<br />
6.2753<br />
6.2640<br />
6.0323<br />
6.2631<br />
6.3499<br />
6.3176<br />
6.3852<br />
6.4777<br />
6.5259<br />
6.3553<br />
6.9048<br />
6.9274<br />
6.9423<br />
6.9529<br />
4. Results<br />
<strong>All</strong> optimal values of φp criteria from each dimensional<br />
problems stated in Table 2 are presented in Table 3. Descriptive<br />
statistics on the φp values obtained from each search algorithms are<br />
displayed in columns 4-7. The columns 4-7 indicated that GA type 1<br />
performed much better than GA type 2 in terms of minimization of<br />
φp criteria. The SD values shown in column 7 displayed larger amount<br />
of variation over 10 replications in GA type 1 than GA type 2.<br />
However, when the dimension of the problem is large, both type of GA<br />
performed similar variation over 10 replications of simulation. This is<br />
probably because of the random structure in GA, which is sometimes<br />
sensitive to different starting points. Further, GA with swap operator in<br />
the mutation step provides better solution in terms of consistency of the<br />
φp optimality criteria.<br />
79<br />
0.0321<br />
0.2055<br />
0.1267<br />
0.0913<br />
0.0177<br />
0.0658<br />
0.0301<br />
0.0339<br />
0.0126<br />
0.0209<br />
0.0247<br />
0.0000<br />
0.0072<br />
0.0131<br />
0.0112<br />
0.0389<br />
0.0046<br />
0.0075<br />
0.0053<br />
0.0059<br />
6.115<br />
0.002<br />
GA1SO<br />
GA2AO<br />
365.213
Change language