An Enhanced Sine–Cosine Algorithm with Balanced Exploration and Exploitation

Abstract

Metaheuristic optimization methods should have a balance between exploitation and exploration capabilities. The sine–cosine algorithm for metaheuristic optimization is not tuned for this balance and, hence, performs poorly for efficiency and accuracy. The paper proposes an enhanced variant of the algorithm by introducing three modifications. First, it modifies the classic sine–cosine position update operator to make only exploitation-oriented moves. Second, it adds the ocean current strategy of jellyfish search optimizer for exploration, and third, it adopts a switching strategy to switch an iteration between exploration and exploitation. The proposed variant has been tested on 20 benchmark functions. The results are also statistically validated. Later, the variant has been used to solve the classic 72-bar multi-story truss design problem. All results show improved convergence speed and accuracy of the proposed variant.