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.

• Type: Conference
• Year: 2007
• Where: FOCI
• Authors: Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama
• Keywords: Applied Computing, FOCI 2007, Rate Changes, Variable Jumping Rate, Well-known Benchmark Functions