Robotics & Machine Learning Daily News2024,Issue(Jul.18) :28-29.

Researchers at University of North Texas Report New Data on Computational Intell igence (An Analytical Decision-making Model for Integrated Green Supply Chain Pr oblems: a Computational Intelligence Solution)

Robotics & Machine Learning Daily News2024,Issue(Jul.18) :28-29.

Researchers at University of North Texas Report New Data on Computational Intell igence (An Analytical Decision-making Model for Integrated Green Supply Chain Pr oblems: a Computational Intelligence Solution)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Computational Intelligence have been presented. According to news originatingfrom Denton, Texas, by NewsRx corr espondents, research stated, “This paper presents an integratedmathematical dec ision -making model to reduce environmental footprints using process integration .By doing so, we address the research question: How can supplier selection, erg onomic factors, andgreen practices be integrated into mathematical decision -ma king models based on the vendor -managedinventory policy? We use the Branch and Bound method to provide optimal solutions and a metaheuristicoptimization appr oach in computational intelligence for large-scale problems.”

Key words

Denton/Texas/United States/North and Central America/Computational Intelligence/Emerging Technologies/Machine Lear ning/Mathematics/University of North Texas

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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