Cooperative Co-Evolutionary Cuckoo Search Algorithm for Continuous Function Optimization Problems
Xin Hu · 2013
To improve the performance of cuckoo search algorithm for continuous function optimization problems,a cooperative co-evolutionary cuckoo search algorithm is proposed.Through the framework of cooperative co-evolutionary,the improved algorithm divides the solution vectors of population into several sub-vectors and constructs the corresponding sub-swarms.The solution vectors of each sub-population are updated by the standard cuckoo search algorithm.Each sub-population provides the vectors of the best solution,which are combined with solution vectors of other sub-populations,and the combined solution vectors are evaluated.The simulation experiments on 10 benchmark functions show that the proposed algorithm efficiently improves the performances on contnuous function optimization problems and it is a competitive optimization algorithm for the problems compared with other algorithms.