[1] Zhou Xia, Shen Jiong, Li Yiguo, et al. Preference-based multiobjective artificial bee colony algorithmfor optimization of superheated steam temperature control [J]. Journal of Southeast University (English Edition), 2014, 30 (4): 449-455. [doi:10.3969/j.issn.1003-7985.2014.04.009]

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Preference-based multiobjective artificial bee colony algorithmfor optimization of superheated steam temperature control()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

30

Issue:

2014 4

Page:

449-455

Research Field:

Energy and Power Engineering

Publishing date:

2014-12-31

Info

Title:

Preference-based multiobjective artificial bee colony algorithmfor optimization of superheated steam temperature control

Author(s):

Zhou Xia¹;  2;  Shen Jiong¹;  Li Yiguo¹

¹School of Energy and Environment, Southeast University, Nanjing 210096, China
²School of Mechanical and Electrical Engineering, Jinling Institute of Technology, Nanjing 211169, China

Keywords:

preference;  multiobjective;  artificial bee colony;  superheated steam temperature control;  optimization

PACS:

TK39;TP391

DOI:

10.3969/j.issn.1003-7985.2014.04.009

Abstract:

In order to incorporate the decision maker’s preference into multiobjective optimization, a preference-based multiobjective artificial bee colony algorithm(PMABCA)is proposed. In the proposed algorithm, a novel reference point based preference expression method is addressed. The fitness assignment function is defined based on the nondominated rank and the newly defined preference distance. An archive set is introduced for saving the nondominated solutions, and an improved crowding-distance operator is addressed to remove the extra solutions in the archive. The experimental results of two benchmark test functions show that a preferred set of solutions and some other non-preference solutions are achieved simultaneously. The simulation results of the proportional-integral-derivative(PID)parameter optimization for superheated steam temperature verify that the PMABCA is efficient in aiding to making a reasonable decision.

References:

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Memo

Memo:

Biographies: Zhou Xia(1976—), female, doctor, lecturer, zenia77@163.com; Shen Jiong(corresponding author), male, doctor, professor, shenj@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.51306082, 51476027).
Citation: Zhou Xia, Shen Jiong, Li Yiguo. Preference-based multiobjective artificial bee colony algorithm for optimization of superheated steam temperature control[J].Journal of Southeast University(English Edition), 2014, 30(4):449-455.[doi:10.3969/j.issn.1003-7985.2014.04.009]

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