A novel nature-inspired algorithm for optimization: Virus colony search

作者：Li, Mu Dong^*; Zhao, Hui; Weng, Xing Wei; Han, Tong

来源：Advances in Engineering Software, 2016, 92: 65-88.

DOI：10.1016/j.advengsoft.2015.11.004

• Nature-inspired algorithms
• Optimization
• Virus colony search
• Survival strategy
• Unconstrained optimization problems
• Engineering design problems

This paper presents a new powerful nature-inspired method named Virus Colony Search (VCS). VCS simulates diffusion and infection strategies for the host cells adopted by virus to survive and propagate in the cell environment. With the strategies, the individual in the new algorithm explores and exploits the search space more efficiently. To verify the performance of our VCS, both the unconstrained classic and CEC2014 modern benchmark functions, and constrained engineering design optimization problems are employed. The experimental results, considering both convergence and accuracy simultaneously, demonstrate the effectiveness of VCS for global numerical and engineering optimization problems.

• 出版日期2016-2
• 单位中国人民解放军空军工程大学