Improved Ant Colony Algorithm and Its Simulation Study
Ant colony algorithm is development a new heuristic algorithm through simulation ant foraging. For its convergence rate slow, easy to fall into local optimal solution proposed for the adjustment of key parameters, pheromone update to improve the way and through the issue of TSP experiments, results showed that the improved algorithm has better overall search capabilities and demonstrated the feasibility and effectiveness of this method
ant colony algorithm pheromone optimization simulation traveling salesman problem
Wang Zongjiang
Computer and Communication Engineering WeiFang University WeiFang, China
国际会议
昆明
英文
371-374
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）