Ant Colony Algorithm Parameters Optimization
Lihua Wang · Jisuanji gongcheng · 2008
For the problem of ant colony algorithm parameters selection,a method of optimum parameter selection using particle swam optimization algorithm is proposed. In this method,the parameters are set as the position information of particle swam in the algorithm iteration process. Then ant colony algorithm is eXecuted to solve the standard optimization problem,and a fitness evaluation function is designed to evaluate the performance of the solution. The particles are navigated to the direction of a higher fitness. Simulation results show that this algorithm selects the optimal operation parameters effectively.