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.
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.
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