Opposition-based differential evolution (ODE) with variable jumping rate

S. Rahnamayan; H. R. Tizhoosh; M. M.A. Salama

doi:10.1109/FOCI.2007.372151

Opposition-based differential evolution (ODE) with variable jumping rate

S. Rahnamayan, H. R. Tizhoosh, M. M.A. Salama

Artificial Intelligence and Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007
Pages	81-88
Number of pages	8
DOIs	https://doi.org/10.1109/FOCI.2007.372151
State	Published - 2007
Event	2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007 - Honolulu, HI, United States Duration: Apr 1 2007 → Apr 5 2007

Publication series

Name	Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007

Conference

Conference	2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007
Country/Territory	United States
City	Honolulu, HI
Period	4/1/07 → 4/5/07

ASJC Scopus subject areas

Artificial Intelligence
Software
General Mathematics

Access to Document

10.1109/FOCI.2007.372151

Cite this

Rahnamayan, S., Tizhoosh, H. R., & Salama, M. M. A. (2007). Opposition-based differential evolution (ODE) with variable jumping rate. In Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007 (pp. 81-88). Article 4233889 (Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007). https://doi.org/10.1109/FOCI.2007.372151

Opposition-based differential evolution (ODE) with variable jumping rate. / Rahnamayan, S.; Tizhoosh, H. R.; Salama, M. M.A.
Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007. 2007. p. 81-88 4233889 (Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rahnamayan, S, Tizhoosh, HR & Salama, MMA 2007, Opposition-based differential evolution (ODE) with variable jumping rate. in Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007., 4233889, Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, pp. 81-88, 2007 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, Honolulu, HI, United States, 4/1/07. https://doi.org/10.1109/FOCI.2007.372151

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Opposition-based differential evolution (ODE) with variable jumping rate

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