QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants

Jeng-Shyang Pan; Zhenyu Meng; Shu-Chuan Chu; John Roddick

doi:10.1007/978-3-319-68527-4_34

QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants

Jeng-Shyang Pan, Zhenyu Meng, Shu-Chuan Chu, John Roddick

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

22 Citations (Scopus)

Abstract

Optimization algorithm in swarm intelligence is getting more and more prevalent both in theoretical field and in real-world applications. Many nature-inspired algorithms in this domain have been proposed and employed in different applications. In this paper, a new QUATRE algorithm with sort strategy is proposed for global optimization. QUATRE algorithm is a simple but powerful stochastic optimization algorithm proposed in 2016 and it tackles the representational/positional bias existing in DE structure. Here a sort strategy is used for the enhancement of the canonical QUATRE algorithm. This advancement is verified on CEC2013 test suite for real-parameter optimization and also is contrasted with several state-of-the-art algorithms including Particle Swarm Optimization (PSO) variants, Differential Evolution (DE) variants on COCO framework under BBOB2009 benchmarks. Experiment results show that the proposed QUATRE algorithm with sort strategy is competitive with the contrasted algorithms.

Original language	English
Title of host publication	Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications
Editors	Pavel Kromer, Vaclav Snasel, Jeng-Shyang Pan, Enrique Alba
Publisher	Springer-Verlag
Pages	314-323
Number of pages	10
ISBN (Print)	9783319685267
DOIs	https://doi.org/10.1007/978-3-319-68527-4_34
Publication status	Published - 1 Jan 2018
Event	4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017 - Malaga, Spain Duration: 9 Oct 2017 → 11 Oct 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	682
ISSN (Print)	2194-5357

Conference

Conference	4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017
Country/Territory	Spain
City	Malaga
Period	9/10/17 → 11/10/17

Keywords

Differential evolution
Particle swarm optimization
QUATRE
Real parameter optimization
Swarm intelligence

Access to Document

10.1007/978-3-319-68527-4_34

Cite this

Pan, J.-S., Meng, Z., Chu, S.-C., & Roddick, J. (2018). QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants. In P. Kromer, V. Snasel, J.-S. Pan, & E. Alba (Eds.), Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications (pp. 314-323). (Advances in Intelligent Systems and Computing; Vol. 682). Springer-Verlag. https://doi.org/10.1007/978-3-319-68527-4_34

Pan, Jeng-Shyang ; Meng, Zhenyu ; Chu, Shu-Chuan et al. / QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants. Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications. editor / Pavel Kromer ; Vaclav Snasel ; Jeng-Shyang Pan ; Enrique Alba. Springer-Verlag, 2018. pp. 314-323 (Advances in Intelligent Systems and Computing).

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abstract = "Optimization algorithm in swarm intelligence is getting more and more prevalent both in theoretical field and in real-world applications. Many nature-inspired algorithms in this domain have been proposed and employed in different applications. In this paper, a new QUATRE algorithm with sort strategy is proposed for global optimization. QUATRE algorithm is a simple but powerful stochastic optimization algorithm proposed in 2016 and it tackles the representational/positional bias existing in DE structure. Here a sort strategy is used for the enhancement of the canonical QUATRE algorithm. This advancement is verified on CEC2013 test suite for real-parameter optimization and also is contrasted with several state-of-the-art algorithms including Particle Swarm Optimization (PSO) variants, Differential Evolution (DE) variants on COCO framework under BBOB2009 benchmarks. Experiment results show that the proposed QUATRE algorithm with sort strategy is competitive with the contrasted algorithms.",

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author = "Jeng-Shyang Pan and Zhenyu Meng and Shu-Chuan Chu and John Roddick",

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Pan, J-S, Meng, Z, Chu, S-C & Roddick, J 2018, QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants. in P Kromer, V Snasel, J-S Pan & E Alba (eds), Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol. 682, Springer-Verlag, pp. 314-323, 4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, Malaga, Spain, 9/10/17. https://doi.org/10.1007/978-3-319-68527-4_34

QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants. / Pan, Jeng-Shyang; Meng, Zhenyu; Chu, Shu-Chuan et al.
Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications. ed. / Pavel Kromer; Vaclav Snasel; Jeng-Shyang Pan; Enrique Alba. Springer-Verlag, 2018. p. 314-323 (Advances in Intelligent Systems and Computing; Vol. 682).

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

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AU - Roddick, John

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Optimization algorithm in swarm intelligence is getting more and more prevalent both in theoretical field and in real-world applications. Many nature-inspired algorithms in this domain have been proposed and employed in different applications. In this paper, a new QUATRE algorithm with sort strategy is proposed for global optimization. QUATRE algorithm is a simple but powerful stochastic optimization algorithm proposed in 2016 and it tackles the representational/positional bias existing in DE structure. Here a sort strategy is used for the enhancement of the canonical QUATRE algorithm. This advancement is verified on CEC2013 test suite for real-parameter optimization and also is contrasted with several state-of-the-art algorithms including Particle Swarm Optimization (PSO) variants, Differential Evolution (DE) variants on COCO framework under BBOB2009 benchmarks. Experiment results show that the proposed QUATRE algorithm with sort strategy is competitive with the contrasted algorithms.

AB - Optimization algorithm in swarm intelligence is getting more and more prevalent both in theoretical field and in real-world applications. Many nature-inspired algorithms in this domain have been proposed and employed in different applications. In this paper, a new QUATRE algorithm with sort strategy is proposed for global optimization. QUATRE algorithm is a simple but powerful stochastic optimization algorithm proposed in 2016 and it tackles the representational/positional bias existing in DE structure. Here a sort strategy is used for the enhancement of the canonical QUATRE algorithm. This advancement is verified on CEC2013 test suite for real-parameter optimization and also is contrasted with several state-of-the-art algorithms including Particle Swarm Optimization (PSO) variants, Differential Evolution (DE) variants on COCO framework under BBOB2009 benchmarks. Experiment results show that the proposed QUATRE algorithm with sort strategy is competitive with the contrasted algorithms.

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BT - Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications

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Pan JS, Meng Z, Chu SC, Roddick J. QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants. In Kromer P, Snasel V, Pan JS, Alba E, editors, Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications. Springer-Verlag. 2018. p. 314-323. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-68527-4_34

QUATRE Algorithm with Sort Strategy for Global Optimization in Comparison with DE and PSO Variants

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