• No results found

Applications of MSG Framework to Routing

A.3. CONCLUSIONS AND DISCUSSION 167

Table A.2: CMSTP computational results. Parenthesised entries are the average percentage deviations from the best known solutions.

5 minutes 25 minutes

Params.200.9.3 Multistart-cmst Params.200.9.3 Multistart-cmst tc40Q3 0.105 (0.151) 1.384 (0.614) 0.028 (0.056) 1.384 (0.614) tc40Q5 0.643 (0.464) 1.527 (0.271) 0.643 (0.464) 1.527 (0.271) tc40Q10 0.000 (0.000) 0.320 (0.640) 0.000 (0.000) 0.320 (0.640) tc80Q5 3.381 (0.808) 4.164 (0.855) 2.667 (0.852) 4.001 (0.610) tc80Q10 1.963 (0.999) 2.959 (0.919) 1.387 (0.884) 2.890 (0.836) tc80Q20 0.710 (0.620) 0.766 (0.969) 0.71 (0.620) 0.766 (0.969) te40Q3 -0.036 (0.072) 0.780 (0.516) -0.036 (0.072) 0.780 (0.516) te40Q5 0.318 (0.399) 2.354 (0.755) 0.217 (0.434) 2.354 (0.755) te40Q10 0.584 (0.657) 2.628 (1.709) 0.584 (0.657) 2.628 (1.709) te80Q5 0.771 (0.400) 1.303 (0.564) 0.544 (0.371) 1.248 (0.544) te80Q10 2.578 (0.501) 3.764 (0.825) 2.161 (0.229) 3.715 (0.864) te80Q20 1.093 (1.224) 3.711 (2.418) 0.790 (1.116) 3.549 (2.356) cm50Q200 0.567 (0.633) 1.819 (1.272) 0.546 (0.650) 1.819 (1.272) cm50Q400 1.271 (0.835) 2.862 (0.888) 1.138 (0.778) 2.862 (0.888) cm50Q800 1.883 (0.903) 2.997 (1.510) 1.605 (0.840) 2.997 (1.510) cm100Q200 14.888 (1.814) 20.043 (2.424) 11.918 (1.764) 19.438 (3.068) cm100Q400 6.017 (1.291) 8.908 (1.744) 5.297 (1.315) 7.649 (0.806) cm100Q800 1.101 (0.480) 1.977 (1.170) 0.986 (0.522) 1.759 (0.868) cm200Q200 27.005 (2.485) 25.441 (3.056) 22.36 (1.675) 24.863 (2.716) cm200Q400 20.475 (4.415) 21.281 (4.272) 15.173 (3.454) 19.062 (3.803) cm200Q800 8.837 (2.573) 8.453 (3.450) 4.756 (1.758) 7.274 (2.769) Avg. 4.484 (1.034) 5.688 (1.469) 3.499 (0.881) 5.375 (1.352)

based metaheuristics can be chosen, such as Ant colony optimization [65] or also stochastic local search techniques [110] can be tested. Furthermore, the approach could also be improved by adding a mechanism such as the one used in Benders decomposition techniques [109], in which the slave return the master a set of constraints to reduce the search space.

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