Multi-population Binary ant Colony Algorithm with Congestion Control Strategy
带拥塞控制的多种群二元蚁群算法

Binary ant-colony algorithm has good performance in the function optimization problem. However, this algorithm is easy to be trapped into the local optimization region and can not get all the solutions of the multi-modal function. An improved binary ant-colony algorithm based on congestion control strategy and multi-population is proposed to overcome these disadvantages. The congestion control strategy and the multi-populations method are respectively introduced to improve the global optimization ability and its multi-modal optimization ability. Tests with various functions (including single-modal and multi-modal functions) demonstrate that the improved algorithm has good global search ability and ensures a better effect to the multi-objective problems.