Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate

In this paper, a time varying jumping rate (TVJR) model for opposition-based differential evolution (ODE) has been proposed. According to this model, the jumping rate changes linearly during the evolution based on the number of function evaluations. A test suite with 15 well-known benchmark functions has been employed to compare performance of the DE and ODE with variable jumping rate settings. Results show that a higher jumping rate is more desirable during the exploration than during the exploitation. Details for the proposed approach and the conducted experiments are provided