A convergence algorithm for function optimization

This paper proposes an opposition-based metaheuristic optimization algorithm. The global convergence of the algorithm is guaranteed. The efficiency of the proposed method has been compared with some well-known heuristic search methods. The obtained results confirm the high performance of the proposed method in solving various function optimizations.