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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2022
    • vol. 7, nº 4, june 2022
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    • Revista IJIMAI
    • 2022
    • vol. 7, nº 4, june 2022
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    Research on the Application of Computer Graphic Advertisement Design Based on a Genetic Algorithm and TRIZ Theory

    Autor: 
    Song, Yang
    Fecha: 
    06/2022
    Palabra clave: 
    TRIZ theory; genetic algorithms; print advertising; innovative thinking; content arrangement; IJIMAI
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/13563
    DOI: 
    https://doi.org/10.9781/ijimai.2021.08.007
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2991
    Open Access
    Resumen:
    In view of the shortcomings of the traditional thinking of computer graphic advertising design, this paper introduces TRIZ innovative thinking to design computer advertising. First of all, combined with specific cases of computer creative print advertising, this paper analyzes the creative methods of stimulating divergent thinking, aggregation thinking and transformation thinking from the innovation principle of TRIZ theory as the origin, and applies them to the creative mechanism and application program of print advertising creativity. The whole process is led by rational principles of perceptual thinking, driven by specific principles of abstract imagination, to explore the thinking source of creative design essence of print advertising. The theory and its application mechanism become a new thinking method and application attempt in the creative field of print advertisement. Then, based on the TRIZ innovation theory, the business model of advertising content arrangement is constructed, and the mathematical model is constructed according to the planning business media resource planning on the business model to realize the multi-objective optimization of efficient use of orders and precise delivery of time. Finally, a multi-objective optimization mathematical model of parallel genetic algorithm is designed to solve the advertisement content arrangement. The innovative thinking of TRIZ and the application of genetic algorithm in content arrangement of computer graphic advertisement design are verified by experiments.
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