关键词: 菌群优化算法，聚集，趋化操作，扩散

Abstract: In order to improve the performance of Bacterial Foraging Optimization (I3F0) , a new swarm intelligence optimization algorithm, called the generalized bacterial foraging optimization (GBFO)was proposed, which has new chemotactic operation, is only composed of chemotaxis with group aggregation mechanism and adaptive strategy, and swarming is cancelled. The chemotactic loop with adaptive diffusion mechanism can improve ability of overcoming the "premature"，and healthiness is redefined to reduce the computational complexity. 10 complex Benchmark functions were tested. The simulation shows that the GI3F0 has better search ability and stability, solution quality and efficiency than other typical algorithm up to 80%~90%，70%~80% among test functions. The comparisons also show GBFO has excellent performance.

Key words: Bacterial foraging optimization,Aggregation,Chemotactic operation,Diffusion