首页|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)
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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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.”
DentonTexasUnited StatesNorth and Central AmericaComputational IntelligenceEmerging TechnologiesMachine Lear ningMathematicsUniversity of North Texas
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