Opposition-Based Cuckoo Search Algorithm for Optimization Problems

摘要

In the paper a novel cuckoo search (CS) algorithm based on the idea of opposition (OCS) algorithm is proposed and attempts to increase the exploration efficiency of the solution space in order to solve optimization problems. the modifications focus on the solution construction phase of the CS algorithm, which organically merges the opposition-based learning into CS algorithm and the OCS algorithm fully uses beneficial information of the best solutions. during the course of evolvement, OCS algorithm has more powerful exploitation capabilities. Simulation and comparisons based on four standard benchmark functions demonstrate the effectiveness, efficiency and robustness of the proposed OCS algorithm.