The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td align="left">Algorithm</td><td align="center">The optimal result</td><td align="center">The worst result</td><td align="center">The biggest evolution generation</td><td align="center">The smallest evolution generation</td><td align="center">The average evolution generation</td><td align="center">Times of convergence</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td align="left">CQGA</td><td align="center">(11.6255, 5.72504, 17.3503)</td><td align="center">(11.6254, 5.32505, 16.9503)</td><td align="center">180</td><td align="center">60</td><td align="center">105</td><td align="center">5</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The statistical results of conventional quantum genetic algorithm.

Mathematical Problems in Engineering

tab3

Table 3

Table 3: The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization 