An meta-cognitive based logistics human resource modeling and optimal scheduling
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE(2024)
Abstract
Resource allocation in logistics poses intricate challenges due to its complexity and non-linearity. This paper presents a novel warehouse human resource scheduling model that combines queuing theory and integer programming. We introduce the Adaptive Quantum Differential Evolution (AQDE) algorithm, inspired by quantum computation, to address the optimization complexities. Our approach demonstrates superior global convergence accuracy and speed compared to other DE variants and evolutionary algorithms. The efficacy of AQDE is validated through experiments using real logistics warehouse data, showcasing its efficiency in allocating logistics resources.
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Key words
Resource allocation,Flexible scheduling,Adaptive quantum differential evolution algorithm
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