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