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CLC number: TP301

On-line Access: 2013-08-02

Received: 2013-01-03

Revision Accepted: 2013-06-17

Crosschecked: 2013-07-12

Cited: 7

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.8 P.612-622


A membrane-inspired algorithm with a memory mechanism for knapsack problems

Author(s):  Juan-juan He, Jian-hua Xiao, Xiao-long Shi, Tao Song

Affiliation(s):  Key Laboratory of Image Processing and Intelligent Control, School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; more

Corresponding email(s):   hejuanjuan1117@gmail.com, songtao0608@hotmail.com

Key Words:  Membrane algorithm, Memory mechanism, Knapsack problem

Juan-juan He, Jian-hua Xiao, Xiao-long Shi, Tao Song. A membrane-inspired algorithm with a memory mechanism for knapsack problems[J]. Journal of Zhejiang University Science C, 2013, 14(8): 612-622.

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%T A membrane-inspired algorithm with a memory mechanism for knapsack problems
%A Juan-juan He
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%A Xiao-long Shi
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1300005

T1 - A membrane-inspired algorithm with a memory mechanism for knapsack problems
A1 - Juan-juan He
A1 - Jian-hua Xiao
A1 - Xiao-long Shi
A1 - Tao Song
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 8
SP - 612
EP - 622
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1300005

membrane algorithms are a class of distributed and parallel algorithms inspired by the structure and behavior of living cells. Many attractive features of living cells have already been abstracted as operators to improve the performance of algorithms. In this work, inspired by the function of biological neuron cells storing information, we consider a memory mechanism by introducing memory modules into a membrane algorithm. The framework of the algorithm consists of two kinds of modules (computation modules and memory modules), both of which are arranged in a ring neighborhood topology. They can store and process information, and exchange information with each other. We test our method on a knapsack problem to demonstrate its feasibility and effectiveness. During the process of approaching the optimum solution, feasible solutions are evolved by rewriting rules in each module, and the information transfers according to directions defined by communication rules. Simulation results showed that the performance of membrane algorithms with memory cells is superior to that of algorithms without memory cells for solving a knapsack problem. Furthermore, the memory mechanism can prevent premature convergence and increase the possibility of finding a global solution.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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