An artificial bee colony optimization algorithms for solving fuzzy capacitated logistic distribution center problem

Ayid, Yasser M.; Zakaraia, Mohammad; Eltoukhy, Mohamed Meselhy

doi:10.1016/j.mex.2024.102964

MethodsX

2024

DOI: 10.1016/j.mex.2024.102964

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An artificial bee colony optimization algorithms for solving fuzzy capacitated logistic distribution center problem

Yasser M. Ayid,

Mohammad Zakaraia,

Mohamed Meselhy Eltoukhy

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Cited by 1 publication

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Human and artificial intelligence in the function of logistics

Tadić,

Krstić,

Veljović

et al. 2024

Veštacka Inteligencija - Prakticna Primena I Izazovi - Zbornik Radova

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There are different areas and potentials for applying artificial intelligence (AI) algorithms and tools in logistics. A wide set of AI tools and methodologies has found practical application in logistics: machine learning models (artificial neural net works, decision trees, clustering algorithms, etc.), metaheuristic algorithms (genetic algorithm, group intelligence-based algorithms, local search algorithms, etc.), and fuzzy systems. The application of AI is inevitably related to people, their work, awareness, behavior, and intelligence, it impacts their role in logistics, but it is also directly dependent on their decisions, intentions, characteristics, etc. This paper discusses the possibilities and prospects of applying AI tools in logistics that can discusses the possibilities and prospects of applying AI tools in logistics that can interact with human intelligence.

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Human and artificial intelligence in the function of logistics

Tadić,

Krstić,

Veljović

et al. 2024

Veštacka Inteligencija - Prakticna Primena I Izazovi - Zbornik Radova

View full text Add to dashboard Cite

show abstract

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An artificial bee colony optimization algorithms for solving fuzzy capacitated logistic distribution center problem

Cited by 1 publication

References 21 publications

Human and artificial intelligence in the function of logistics

Human and artificial intelligence in the function of logistics

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