A Novel BCC Algorithm for Function Optimization
Aiming at improving the performance of bacterial colony chemotaxis (BCC) optimization algorithm, a novel bacterial colony chemotaxis algorithm is introduced through integrating chaotic optimization into bacterial colony chemotaxis (NBCC) optimization algorithm, it greatly enhances the local searching efficiency and global searching performance. Simulation results on standard test functions show that NBCC is pretty efficient to solve complex problems.
KeywordsBacterial colony chemotaxis Function optimization Kent map
This work was supported in part by project “ Research on Key Problem of Combinatorial Software Testing optimization Based on Swarm Intelligence” (61050003) from National Natural Science Foundation of China, by project “Smart Combinatorial Soft Testing method “ (ZL2009-9) from Natural Science Foundation of XUPT,by project “Smart Combinatorial Embedded Soft Testing Platform” (2009K08-26) from Key Technologies R&D Programmed Foundation of Shan xi Province.
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