Ant colony algorithm design of intercrossing affected double variable for continuous optimization problem
双参数交叉影响的连续域蚁群算法设计*

Based on general ant colony algorithm (ACA) to resolving complex calculation parameters problem in civil engineering, this paper developed a new ACA of intercrossing affected double variable for continuous optimization problem. At the same time, conformed mathematical model and arithmetic structure of the algorithm considering characters of practical problem, drew three affected factors including restriction of remained pheromone number, auto-adapted control of enduring coefficient of pheromone, the whole renew rule into the design of the algorithm. Brought out optimizing combination parameters of the algorithm by numerical simulation experiments of ant numbers, arithmetic convergence standard, minimal permanence coefficient of pheromone, circulation times and intensity constant of pheromone. At last, implemented the modified ACA to reverse calculation parameters of subgrade. The result of simple example shows that the modified ACA can solve the reversion problem efficiently. It realizes the application of ACA in civil engineering for continuous optimization problem.