Research on Optimization Modeling Methods Combining Genetic Algorithm with Computer Technology

As an optimization algorithm that imitates the natural selection and genetic mechanism, genetic algorithm applied in the combination with the computer technology, gradually obtained rapid development along with the computer network and information technology. Supported by a comprehensive account of essential elements, the basic theories of genetic algorithm are introduced in this paper, as well as how applications of genetic algorithm have been supported with the use of computer technology. This paper focuses on the optimization modeling method, through the use of genetic algorithm in combination with computer technology, whose efficiency has been validated through case analysis. Aiming at the problem of genetic algorithm, this paper presents an improved genetic algorithm based on variable domain to solve the traveling salesman problem. It finally summarizes the research findings, outlines the future development trends, and underlines that this study opens new directions for the application of genetic algorithms in the field of computer technology, while providing effective technical support for optimization modelling.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/ispcem64498.2024.00094
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Optimization Modeling Methods Combining Genetic Algorithm with Computer Technology

Ruiyan Cai
Wireless Sensor Networks and IoT
article

Research on Optimization Modeling Methods Combining Genetic Algorithm with Computer Technology

Ruiyan Cai
article en

Abstract

As an optimization algorithm that imitates the natural selection and genetic mechanism, genetic algorithm applied in the combination with the computer technology, gradually obtained rapid development along with the computer network and information technology. Supported by a comprehensive account of essential elements, the basic theories of genetic algorithm are introduced in this paper, as well as how applications of genetic algorithm have been supported with the use of computer technology. This paper focuses on the optimization modeling method, through the use of genetic algorithm in combination with computer technology, whose efficiency has been validated through case analysis. Aiming at the problem of genetic algorithm, this paper presents an improved genetic algorithm based on variable domain to solve the traveling salesman problem. It finally summarizes the research findings, outlines the future development trends, and underlines that this study opens new directions for the application of genetic algorithms in the field of computer technology, while providing effective technical support for optimization modelling.

New York University Shanghai (CN)
Openalex Percentile: Top 66%
Wireless Sensor Networks and IoT
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