A Quantum-Inspired Genetic K-Means Algorithm for Gene Clustering

Hua, Chun; Narengerile, Liu

doi:10.1007/978-3-030-64221-1_2

Cited by 2 publications

(1 citation statement)

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“…It is an effective method to solve implicit objective optimization problems. Because human factors are added to the interactive evolutionary algorithm, how to reduce user fatigue and enhance the efficiency of the algorithm is a very urgent and meaningful topic [18].…”

Section: Introductionmentioning

confidence: 99%

Application of Multipopulation Genetic Algorithm in Industrial Special Clothing Design

Zhang¹,

Yang

2022

Wireless Communications and Mobile Computing

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Industrial special clothing refers to the clothing worn by employees of industrial enterprises and departments in order to dress uniformly, facilitate work, or protect their bodies from external injuries. They have the common characteristics of practicality and identification. This kind of clothing includes many styles, such as uniforms, shirts, jackets, overalls, skirts, aprons, and headscarves, which are also applicable in different fields. For example, the clothing for high-temperature operation requires high temperature resistance and comfort, while the clothing for high-altitude operation requires high clothing strength and can play a protective role. General interactive genetic algorithm only supports single user evaluation. The results can only reflect the preferences of a single user. The product designed by interactive genetic algorithm needs to meet the needs of as many users as possible, and a multiuser interactive genetic algorithm suitable for population design is proposed. The detailed design of three main modules of the algorithm, namely, population initialization module, single population module, and multipopulation module, is given. Finally, the algorithm and the general single user interactive genetic algorithm are applied to the garment design system for comparative experiments. The effectiveness of the algorithm in group design is verified.

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Section: Introductionmentioning

confidence: 99%