tailieunhanh - Hybrid invasive weed optimization algorithm with chicken swarm optimization algorithm to solve global optimization problems

In this paper, a new hybrid algorithm was proposed to solve the global optimization problems that combine the invasive weed optimization algorithm with the chicken swarm optimization algorithm. The invasive weed optimization (IWO) algorithm is a stochastic algorithm inspired by the colonial behavior of weeds that was first proposed in 2006 by Mehrabian and Lucas. | International Journal of Computer Networks and Communications Security C VOL. 6, NO. 8, AUGUST 2018, 173–181 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) N C S Hybrid Invasive Weed Optimization Algorithm with Chicken Swarm Optimization Algorithm to solve Global Optimization Problems Hind , Ban and Abdul Sattar 1 M. Sc. Student, Department of Statistics and Informatics, College of Computer Science and Mathematics, Mosul University, Iraq 2 Prof. Dr . Department of Mathematics, College of Computer Science and Mathematics, Mosul University, Iraq 3 . Computer Center, Northern Technical University, Mosul, Iraq 1 hind7789talaat@, , abdulsattarmk2@ ABSTRACT In this paper, a new hybrid algorithm was proposed to solve the global optimization problems that combine the invasive weed optimization algorithm with the chicken swarm optimization algorithm. The invasive weed optimization (IWO) algorithm is a stochastic algorithm inspired by the colonial behavior of weeds that was first proposed in 2006 by Mehrabian and Lucas. Due to their strength and adaptability, weeds pose a serious threat to cultivated plants, making them a threat to the cultivation process themselves. The behavior of these weeds has been simulated and used in the invasive weed algorithm. The chicken swarm optimization (CSO) algorithm is a natural-inspired algorithm that simulates the hierarchy of the chicken swarm and the behavior of the chicken swarm, including roosters, chickens and chicks in their search for food and lifestyle, first proposed in 2014 by Xian bin Meng et al. In order to benefit from the intelligence of the swarms and to avoid falling into local solutions, a new hybridization process was proposed between the invasive weed optimization algorithm and the chicken swarm optimization algorithm to launch the new hybrid algorithm (IWOCSO). The new hybrid .

• An ninh - Bảo mật
• International Journal of Computer Networks and Communications Security
• Hybrid invasive weed optimization algorithm
• Chicken swarm optimization algorithm
• Solve global optimization problems
• The invasive weed optimization