<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>A hotel supply chain management system is distributed with considerable computation. In this paper, a multi-colony ant algorithm based on heterogeneous is designed. An optimal scheme based on distributed programming is proposed. A heterogeneous multi-colony ant algorithm is a kind of ant colony with multiple characteristics. Different ant species have other population characteristics and apparent advantages and complementarity. Several heterogeneous ants with optimized performance were studied. In this paper, the collaboration is carried out on several computing nodes. The algorithm of this model can satisfy the characteristics of multiple orders. This algorithm can optimize distributed computing resources in the hotel supply chain to the maximum extent for large and complex suppliers and collaborative time ordering problems. Simulation results show that the proposed method achieves good efficiency, stability and order adaptability.</p>
</abstract>

A hotel supply chain management system is distributed with considerable computation. In this paper, a multi-colony ant algorithm based on heterogeneous is designed. An optimal scheme based on distributed programming is proposed. A heterogeneous multi-colony ant algorithm is a kind of ant colony with multiple characteristics. Different ant species have other population characteristics and apparent advantages and complementarity. Several heterogeneous ants with optimized performance were studied. In this paper, the collaboration is carried out on several computing nodes. The algorithm of this model can satisfy the characteristics of multiple orders. This algorithm can optimize distributed computing resources in the hotel supply chain to the maximum extent for large and complex suppliers and collaborative time ordering problems. Simulation results show that the proposed method achieves good efficiency, stability and order adaptability.

Scheduling Optimization of hotel supply chain based on heterogeneous multipopulation ant colony algorithm

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

A hotel supply chain management system is distributed with considerable computation. In this paper, a multi-colony ant algorithm based on heterogeneous is...

Scheduling Optimization of hotel supply chain based on heterogeneous multipopulation ant colony algorithm

Online veröffentlicht: 21. Juni 2023

Seitenbereich: 2589 - 2598

Eingereicht: 13. Sept. 2022

Akzeptiert: 26. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00439

Schlüsselwörter
Hotel supply chain scheduling, Ant colony algorithm, Heterogeneous multi-population ant colony, Order optimization

© 2023 Qing Yuan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Scheduling Optimization of hotel supply chain based on heterogeneous multipopulation ant colony algorithm

Online veröffentlicht: 21. Juni 2023

Seitenbereich: 2589 - 2598

Eingereicht: 13. Sept. 2022

Akzeptiert: 26. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00439

SchlüsselwörterHotel supply chain scheduling, Ant colony algorithm, Heterogeneous multi-population ant colony, Order optimization

© 2023 Qing Yuan, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Hotel supply chain scheduling, Ant colony algorithm, Heterogeneous multi-population ant colony, Order optimization