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Research on High-Satisfaction Evaluation of Health-Care Product Design Based on Genetic Optimization Algorithm

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  • Yanyun Zhao
  • Yujia Xue
  • Vijay Kumar

Abstract

This paper proposes a high-satisfaction evaluation method for health-care product design based on the genetic optimization algorithm in order to deeply understand consumers' satisfaction with forest health-care products. This article builds a consumer demand index system for the service content of forest health-care bases from the four levels of environmental conditions, service items, supporting facilities, and service levels. According to the questionnaire survey results of 1000 randomly selected forest health-care consumers, based on the genetic optimization algorithm, the overall design takes the four levels of satisfaction evaluation into account, resulting in a more reasonable evaluation of health-care products. Experiments show that the method proposed in this paper outperforms the traditional method for evaluating health-care products.

Suggested Citation

  • Yanyun Zhao & Yujia Xue & Vijay Kumar, 2022. "Research on High-Satisfaction Evaluation of Health-Care Product Design Based on Genetic Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, June.
    • Handle: RePEc:hin:jnlmpe:9115694
    DOI: 10.1155/2022/9115694
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