Comparative Study on Recent Development of Heuristic Optimization Methods

Van Oanh Sai; Chin Shiuh Shieh; Yuh Chung Lin; Mong Fong Horng; Trong The Nguyen; Quang Duy Le; Jung Yi Jiang

doi:10.1109/CMCSN.2016.29

Comparative Study on Recent Development of Heuristic Optimization Methods

Van Oanh Sai
, Chin Shiuh Shieh
, Yuh Chung Lin
, Mong Fong Horng
, Trong The Nguyen
, Quang Duy Le
, Jung Yi Jiang

Department of Computer Science and Information Engineering

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

8 Citations (Scopus)

Abstract

In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed, but the performance of these algorithms in solving noisy non-linear optimization problems when compared with popular methods still need more of verifications. In this context, two popular algorithms called GA and PSO will be compared with some recent metaheuristic algorithms such as Grey Wolf Optimizer, Firefly Algorithm, and Brain Storm Optimization algorithm in finding optimal solutions of noisy non-linear optimization problems. The results will be compared in terms of accuracy of the best solutions found and the execution time.

Original language	English
Title of host publication	Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016
Editors	Pei-Wei Tsai, Junzo Watada, Naoyuki Kubota
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	68-71
Number of pages	4
ISBN (Electronic)	9781509010936
DOIs	https://doi.org/10.1109/CMCSN.2016.29
Publication status	Published - 2017 Aug 10
Event	3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016 - Matsue, Shimane, Japan Duration: 2016 May 20 → 2016 May 22

Publication series

Name	Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016

Other

Other	3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016
Country/Territory	Japan
City	Matsue, Shimane
Period	16-05-20 → 16-05-22

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing
Information Systems and Management
Instrumentation
Information Systems

Access to Document

10.1109/CMCSN.2016.29

Cite this

Sai, V. O., Shieh, C. S., Lin, Y. C., Horng, M. F., Nguyen, T. T., Le, Q. D., & Jiang, J. Y. (2017). Comparative Study on Recent Development of Heuristic Optimization Methods. In P.-W. Tsai, J. Watada, & N. Kubota (Eds.), Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016 (pp. 68-71). Article 8008642 (Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CMCSN.2016.29

Sai, Van Oanh ; Shieh, Chin Shiuh ; Lin, Yuh Chung et al. / Comparative Study on Recent Development of Heuristic Optimization Methods. Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016. editor / Pei-Wei Tsai ; Junzo Watada ; Naoyuki Kubota. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 68-71 (Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016).

@inproceedings{af04360998a5468091d1f468728be471,

title = "Comparative Study on Recent Development of Heuristic Optimization Methods",

abstract = "In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed, but the performance of these algorithms in solving noisy non-linear optimization problems when compared with popular methods still need more of verifications. In this context, two popular algorithms called GA and PSO will be compared with some recent metaheuristic algorithms such as Grey Wolf Optimizer, Firefly Algorithm, and Brain Storm Optimization algorithm in finding optimal solutions of noisy non-linear optimization problems. The results will be compared in terms of accuracy of the best solutions found and the execution time.",

author = "Sai, \{Van Oanh\} and Shieh, \{Chin Shiuh\} and Lin, \{Yuh Chung\} and Horng, \{Mong Fong\} and Nguyen, \{Trong The\} and Le, \{Quang Duy\} and Jiang, \{Jung Yi\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016 ; Conference date: 20-05-2016 Through 22-05-2016",

year = "2017",

month = aug,

day = "10",

doi = "10.1109/CMCSN.2016.29",

language = "English",

series = "Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "68--71",

editor = "Pei-Wei Tsai and Junzo Watada and Naoyuki Kubota",

booktitle = "Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016",

address = "United States",

}

Sai, VO, Shieh, CS, Lin, YC, Horng, MF, Nguyen, TT, Le, QD & Jiang, JY 2017, Comparative Study on Recent Development of Heuristic Optimization Methods. in P-W Tsai, J Watada & N Kubota (eds), Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016., 8008642, Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016, Institute of Electrical and Electronics Engineers Inc., pp. 68-71, 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016, Matsue, Shimane, Japan, 16-05-20. https://doi.org/10.1109/CMCSN.2016.29

Comparative Study on Recent Development of Heuristic Optimization Methods. / Sai, Van Oanh; Shieh, Chin Shiuh; Lin, Yuh Chung et al.
Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016. ed. / Pei-Wei Tsai; Junzo Watada; Naoyuki Kubota. Institute of Electrical and Electronics Engineers Inc., 2017. p. 68-71 8008642 (Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016).

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

TY - GEN

T1 - Comparative Study on Recent Development of Heuristic Optimization Methods

AU - Sai, Van Oanh

AU - Shieh, Chin Shiuh

AU - Lin, Yuh Chung

AU - Horng, Mong Fong

AU - Nguyen, Trong The

AU - Le, Quang Duy

AU - Jiang, Jung Yi

PY - 2017/8/10

Y1 - 2017/8/10

N2 - In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed, but the performance of these algorithms in solving noisy non-linear optimization problems when compared with popular methods still need more of verifications. In this context, two popular algorithms called GA and PSO will be compared with some recent metaheuristic algorithms such as Grey Wolf Optimizer, Firefly Algorithm, and Brain Storm Optimization algorithm in finding optimal solutions of noisy non-linear optimization problems. The results will be compared in terms of accuracy of the best solutions found and the execution time.

AB - In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problems and became very popular such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO). Recently, many new metaheuristic algorithms were proposed, but the performance of these algorithms in solving noisy non-linear optimization problems when compared with popular methods still need more of verifications. In this context, two popular algorithms called GA and PSO will be compared with some recent metaheuristic algorithms such as Grey Wolf Optimizer, Firefly Algorithm, and Brain Storm Optimization algorithm in finding optimal solutions of noisy non-linear optimization problems. The results will be compared in terms of accuracy of the best solutions found and the execution time.

UR - https://www.scopus.com/pages/publications/84991246494

UR - https://www.scopus.com/pages/publications/84991246494#tab=citedBy

U2 - 10.1109/CMCSN.2016.29

DO - 10.1109/CMCSN.2016.29

M3 - Conference contribution

AN - SCOPUS:84991246494

T3 - Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016

SP - 68

EP - 71

BT - Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016

A2 - Tsai, Pei-Wei

A2 - Watada, Junzo

A2 - Kubota, Naoyuki

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016

Y2 - 20 May 2016 through 22 May 2016

ER -

Sai VO, Shieh CS, Lin YC, Horng MF, Nguyen TT, Le QD et al. Comparative Study on Recent Development of Heuristic Optimization Methods. In Tsai PW, Watada J, Kubota N, editors, Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 68-71. 8008642. (Proceedings - 2016 3rd International Conference on Computing Measurement Control and Sensor Network, CMCSN 2016). doi: 10.1109/CMCSN.2016.29

Comparative Study on Recent Development of Heuristic Optimization Methods

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this