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Optimization model of material distribution in titanium sponge intelligent factory based on SEO algorithm

Published: 24 October 2024 Publication History

Abstract

In order to reduce carbon dioxide emissions and material distribution costs of titanium sponge intelligent factory, a bi-objective optimization model which carbon dioxide emissions and cost consumption are minimized in the whole process of material distribution is established. According to the actual situation of material transportation in titanium sponge intelligent factory, a coding and decoding method is designed, and the social engineering (SEO) algorithm is used to solve the problem. Finally, the application scenario of a titanium sponge intelligent factory material distribution is taken as an case, and the SEO algorithm and simulated annealing (SA) algorithm are compared and verified. The correctness of the bi-objective optimization model and the superiority of SEO algorithm are proved by four multi-objective evaluation metrics.

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    CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
    June 2024
    1206 pages
    ISBN:9798400710247
    DOI:10.1145/3690407
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 24 October 2024

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    Author Tags

    1. Bi-objective optimization model
    2. Intelligent factory
    3. Material distribution
    4. Social engineering (SEO) algorithm

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