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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
Rahnamayan et al. (Sun,) studied this question.
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