2009Journal of SoftwareRequires access

A Naïve Five-Element String Algorithm

Renkuan Guo, Yanhong Cui, Danni Guo

Open publisher page 5 citations

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 naive 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.

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What this paper is about

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 naive 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.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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 naive 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.

Key concepts: Computer science, Element (criminal law), String (physics), Algorithm, Physics, Theoretical physics, Political science, Law

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