Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems
Imperialist competitive algorithm (ICA) is an efficient meta-heuristic algorithm by simulating the competitive behaviour among imperialist countries.However, it still suffers from slow convergence and deficiency in exploration.To address these issues, an improved ICA is proposed by combining ICA with a quasi-opposition-based jeff rosenstock buffalo