Thursday 28th of March 2024
 

A Bio-Inspired Algorithm based on Membrane Computing for Engineering Design problem


Jian-Hua Xiao, Yu-Fang Huang and Zhen Cheng

Membrane computing is an emergent branch of natural computing, which has been extensively used to solve various NP-complete and intractable problems. In this paper, a bio-inspired algorithm based on membrane computing (BIAMC) is proposed to solve the engineering design problem. BIAMC is designed with the framework and rules of a cell-like P systems, and particle swarm optimization with the neighborhood search. Simulation and experimental results demonstrate that the improved algorithm is valid and outperforms other evolutionary algorithms for engineering design problems.

Keywords: Engineering Design Problem; Membrane Computing; Particle Swarm Optimization; Neighborhood Search

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ABOUT THE AUTHORS

Jian-Hua Xiao
Jian-hua Xiao is received the Ph. D. degree in System Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2008. He is currently a lecture at Nankai University, Tianjin, China. His research interests include combinatorial optimization, Bio-inspired computation and logistics optimization etc.

Yu-Fang Huang
Yu-fang Huang received the Ph.D. degree from Huazhong University of Science and Technology in 2010. She is now on the Post Doctor research of the Department of Control Science and Engineering at Huazhong University of Science and Technology from 2011. Currently, she is a teacher of the College of Mathematics at Southwest Jiaotong University. Her research interests include combinatorial optimization and molecular computation.

Zhen Cheng
Zhen Cheng received the PH.D degree from Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2010.She is currently a lecturer at Zhejiang University of Technology, Hangzhou, China. Her research interests are combinatorial optimization, Bio-inspired computation.


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