Combining a novel feeding operator and recent advances to improve the fish school search

Abstract

In this work, we propose a new version of Fish School Search Algorithm named FSS-CS. This release has three major changes. First, it has an improved feeding mechanism to enhance the barycenter calculation. Secondly, it promotes exploration by using a state-of-art non-greedy strategy. Finally, it incorporates a promising existent elliptic steps decay. Five benchmark optimization problems were employed to evaluate the performance of our proposal. The results show that the proposed version outperformed in most cases the FSS versions for mono-modal optimization.