摘要
将蚁群算法引入连续空间的函数寻优问题求解 ,通过将传统蚁群算法中的“信息量留存”过程拓展为连续空间中的“信息量分布函数”,定义了相应的求解算法。对多极值函数和非线性连续函数的寻优实例仿真取得了良好的结果 ,显示了蚁群算法在连续空间优化问题中的应用前景。
The aim is to introduce the traditional ant system (AS) algorithm which is fit in combined optimization problem into optimization problem in continuous space. By expanding the trail remaining process in traditional AS into trail distribution function in continuous space, an extended AS algorithm is proposed. Simulation results of the global optimum value searching of multi-minimum continuous function and nonlinear continuous function demonstrate the effectiveness and the applicability of the algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2003年第1期45-48,57,共5页
Control and Decision
基金
国家自然科学基金资助项目 (79970 0 30
6 0 10 40 0 4
70 2 710 35 )
国家高性能计算基金资助项目 (995 2 0)
