Volume 4 Number 9 (Nov. 2009)
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JSW 2009 Vol.4(9): 925-934 ISSN: 1796-217X
doi: 10.4304//jsw.4.9.925-934

A Naïve Five-Element String Algorithm

Yanhong Cui, Renkuan Guo, and Danni Guo
University of Cape Town, Private Bag, Rondebosch 7701, Cape Town, South Africa

Abstract—In this paper, we propose a new global optimization algorithm inspired by the human life model in Chinese Traditional Medicine and graph theory, which is named as naïve five-element string algorithm. The new algorithm utilizes strings of elements from member set {0,1,2,3,4} to represent the values of candidate solutions (typically represented as vectors in n-dimensional Euclidean space). Except the mathematical operations for evaluating the objective function, sort procedure, creating initial population randomly, the algorithm only involves if-else logical operation. In contrast to existing global optimization algorithms, the five-element algorithm engages the simplest mathematics but reaches the highest searching efficiency.

Index Terms—global optimization, five-element string, genetic algorithm, sort, naïve string algorithm

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Cite: Yanhong Cui, Renkuan Guo, and Danni Guo, "A Naïve Five-Element String Algorithm," Journal of Software vol. 4, no. 9, pp. 925-934, 2009.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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