A Novel Optimization Approach: Bacterial-GA Foraging
Tai-Chen Chen, Pei‐Wei Tsai, Shu‐Chuan Chu, Jeng‐Shyang Pan · 2007
In this paper, we proposed a novel optimization model, which combines bacterial foraging with genetic algorithm. Though these two well-known optimization algorithms have their own good points, they also have their own drawbacks respectively. In our work, a combined evolutional model, bacterial-GA foraging, is proposed. Via applying this new model, experimental results indicate that the new combined model performs much better performance than applying any of these two algorithms singly.