论文信息 - Fast Convergent Spider Monkey Optimization Algorithm

Fast Convergent Spider Monkey Optimization Algorithm

Spider Monkey Optimization (SMO) is a recent optimization method, which has drawn interest of researchers in different areas because of its simplicity and efficiency. This paper presents an effort to modify Spider Monkey Optimization Algorithm with higher exploitation capabilities. A new acceleration coefficient based strategy is proposed in the basic version of SMO. The proposed algorithm is named as Fast Convergent Spider Monkey Optimization Algorithm (FCSMO). FCSMO is tested over 14 benchmark test functions and compared with basic SMO. The result reveals that FCSMO will surely become a good variant of SMO.

Neetu Agarwal | S. C. Jain | S. C. Jain | Neetu Agarwal

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