Virulence Optimization Algorithm

- A novel method of optimization inspired by optimal mechanism of viruses when infecting body cells.
- Simulates the recognition of fittest viruses, reproduction of cells to prompt “invasion” operation and escaping from infected region (to avoid immune reaction).
- It starts the optimization process with an initial population consisting of viruses and host cells. Then, the environment will be clustered to number of regions called Virus groups.
- Drifting (mutation) and shifting (recombination) and constitute an “invasion” force to invade host environment.
- The best viruses in each virus group undergoes a cloning operation to spread the Virulence in host environment and the escape mechanism enables the virus to avoid immune response.
- Comparing the result of this algorithm with other well-known optimization algorithms demonstrates the superiority of the proposed algorithm in terms of the global solution convergence and the convergence speed.