A Cuckoo Optimization Algorithm Using Elite Opposition-Based Learning and Chaotic Disturbance

摘要

To solve the problem of slow convergence rate before reaching the global optimum in the conventional Cuckoo Search algorithm (CS). This study presents an enhanced CS algorithm called CH-EOBCCS, where elite members are introduced to generate their opposite