对不同函数优化试例的仿真表明细菌群体趋药性算法性能良好，是一种具有进一步研究价值的集群函数优化方法。
The simulation of some test function optimization using BCC algorithm shows BCC algorithm a kind of potentially powerful optimization method worth of much more research.
细菌群体趋药性算法同时使用单个细菌在引诱剂环境下的应激反应动作和细菌群体间的位置信息交互来进行函数优化。
BCC algorithm takes advantage of both a single bacterium's reaction to chemoattractants and the exchange of position information among bacteria to find the optimum.
细菌趋药性算法是优化领域一种新的仿生进化算法。
Bacterial chemotaxis optimization is a novel category of bionic algorithm for optimization problems.
针对细菌群体趋药性算法(BCC)求解效率较低的问题，提出一种改进的BCC算法。
For solving the problem of low efficiency about bacterial colony chemotaxis algorithm (BCC), an improved BCC algorithm is proposed.
最后详述了细菌趋药性算法未来的研究方向和主要研究内容，该方法是具有实际研究价值的函数优化算法。
Finally, some remarks on the further research and directions are presented. This algorithm is a kind of potentially powerful optimization method worth of...
最后详述了细菌趋药性算法未来的研究方向和主要研究内容，该方法是具有实际研究价值的函数优化算法。
Finally, some remarks on the further research and directions are presented. This algorithm is a kind of potentially powerful optimization method worth of...
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