A Hybrid Mode Membrane Computing Based Algorithm with Applications for Proton Exchange Membrane Fuel Cells

Jinhui Zhao (), Wei Zhang, Tianyu Hu, Ouguan Xu, Shengxiang Yang and Qichun Zhang
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Jinhui Zhao: Zhejiang-Belarus Joint Laboratory of Intelligent Equipment and System for Water Conservancy and Hydropower Safety Monitoring, College of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
Wei Zhang: Fair Friend Institute of Intelligent Manufacturing, Hangzhou Vocational & Technical College, Hangzhou 310018, China
Tianyu Hu: College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
Ouguan Xu: College of Information Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
Shengxiang Yang: School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK
Qichun Zhang: Department of Computer Science, University of Bradford, Bradford BD7 1DP, UK

Mathematics, 2023, vol. 11, issue 14, 1-16

Abstract: Membrane computing is a branch of natural computing which has been extended to solve various optimization problems. A hybrid mode membrane-computing-based algorithm (HMMCA) is proposed in this paper to solve complex unconstrained optimization problems with continuous variables. The algorithmic framework of HMMCA translates from its distributed cell-like membrane structure and communication rule. A non-deterministic evolutionary programming method and two computational rules are applied to enhance the computational performance. In a numerical simulation, 12 benchmark test functions with different variables are used to verify the algorithmic performance. The test results and comparison with three other algorithms illustrate its effectiveness and superiority. Moreover, a case study on a proton exchange membrane fuel cell (PEMFC) system parameter optimization problem is applied to validate its practicability. The results of the simulation and comparison with seven other algorithms demonstrate its practicability.

Keywords: membrane computing; nondeterministic evolutionary programming method; benchmark functions; proton exchange membrane fuel cell (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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