中文摘要：

提出了自适应双向菌群优化算法,应用聚类思想将趋化步长进行自适应调整,提高算法的局部搜索能力,引入双向游动机制,提高了算法的搜索效率和速度。针对10个复杂Benchmark函数进行了数值优化实验,其结果表明,在所有测试函数中,该算法在搜索能力和稳定性等方面优于其他典型算法的比率达到60%～90%,验证了算法的有效性。

英文摘要：

This paper proposed on adaptive bidirectional bacterial foraging optimization（ABBFO）,which had self-adaptive chemotactic step size based clustering,could improve algorithm＇s local search ability.Bidirectional swarm was devised to enhance the efficiency and speed of algorithm,10 complex Benchmark functions have been tested.The simulation shows that the ABBFO has better search ability and stability than other typical algorithm up to 60%~90% among test functions.The comparisons also shows ABBFO is an effective optimization.