Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm

Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we have used chaotic maps to improve locally and globally tuned biogeography-based optimization (LGBBO) algorithm. The effect of chaotic maps like Chebyshev, Logistic, Sinusoidal, and Circle for enhancing the efficiency of LGBBO are studied in terms of local optima avoidance and convergence speed, and we name it as Locally and Globally Tuned Chaotic BBO(LGCBBO). We have carried out an extensive numerical evaluation on ten high dimensional benchmark functions to measure the efficiency of our proposed method. The experimental study confirms that LGCBBO is better than LGBBO for some chaotic maps in terms of accuracy and convergence rate.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Information Technology, ICIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages152-158
Number of pages7
ISBN (Print)9781538629246
DOIs
Publication statusPublished - 2018 Jul 31
Event16th International Conference on Information Technology, ICIT 2017 - Bhubaneswar, Odisha, India
Duration: 2017 Dec 212017 Dec 23

Other

Other16th International Conference on Information Technology, ICIT 2017
CountryIndia
CityBhubaneswar, Odisha
Period17/12/2117/12/23

Fingerprint

Logistics
Experimental study
Benchmark
Evaluation
Avoidance
Convergence speed
Convergence rate

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Information Systems and Management

Cite this

Giri, P. K., De, S. S., Dehuri, S., & Cho, S. B. (2018). Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. In Proceedings - 2017 International Conference on Information Technology, ICIT 2017 (pp. 152-158). [8423899] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2017.44
Giri, Parimal Kumar ; De, Sagar S. ; Dehuri, Satchidananda ; Cho, Sung Bae. / Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. Proceedings - 2017 International Conference on Information Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 152-158
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Giri, PK, De, SS, Dehuri, S & Cho, SB 2018, Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. in Proceedings - 2017 International Conference on Information Technology, ICIT 2017., 8423899, Institute of Electrical and Electronics Engineers Inc., pp. 152-158, 16th International Conference on Information Technology, ICIT 2017, Bhubaneswar, Odisha, India, 17/12/21. https://doi.org/10.1109/ICIT.2017.44

Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. / Giri, Parimal Kumar; De, Sagar S.; Dehuri, Satchidananda; Cho, Sung Bae.

Proceedings - 2017 International Conference on Information Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 152-158 8423899.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Giri PK, De SS, Dehuri S, Cho SB. Locally and Globally Tuned Chaotic Biogeography-Based Optimization Algorithm. In Proceedings - 2017 International Conference on Information Technology, ICIT 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 152-158. 8423899 https://doi.org/10.1109/ICIT.2017.44