Hybrid cuckoo search algorithm for solving constrained chemical engineering optimization problems
Long We · Journal of Computer Applications · 2014
The Cuckoo Search( CS) algorithm has a few disadvantages in the global searching,including slow convergence and high possibility of being trapped in local optimum. To overcome these disadvantages,a effective hybrid CS algorithm based on Rosenbrock local search and Cauchy mutation was proposed to solve the constrained numerical and chemical engineering optimization problems. Firstly,good point set method was used to initiate bird nests position,which strengthened the diversity of global searching. Secondly,for the current best position,Rosenbrock local search technique was introduced to improve the convergence speed of CS algorithm. Thirdly,a Gaussian mutation operator would be given on the global optimum of each generation,thus,the algorithm could effectively jump out of local minima. The experimental results with several constrained numerical functions and chemical engineering optimization problems show a promising performance of the proposed algorithm.