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MLA

Chu, Liyang, et al. "Intelligent Logistics Vehicle Path Planning Using Fused Optimization Ant Colony Algorithm With Grid." IJITSA vol.17, no.1 2024: pp.1-20. http://doi.org/10.4018/IJITSA.342613

APA

Chu, L., Guo, H., & Meng, Q. (2024). Intelligent Logistics Vehicle Path Planning Using Fused Optimization Ant Colony Algorithm With Grid. International Journal of Information Technologies and Systems Approach (IJITSA), 17(1), 1-20. http://doi.org/10.4018/IJITSA.342613

Chicago

Chu, Liyang, Haifeng Guo, and Qingshi Meng. "Intelligent Logistics Vehicle Path Planning Using Fused Optimization Ant Colony Algorithm With Grid," International Journal of Information Technologies and Systems Approach (IJITSA) 17, no.1: 1-20. http://doi.org/10.4018/IJITSA.342613

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Intelligent Logistics Vehicle Path Planning Using Fused Optimization Ant Colony Algorithm With Grid

International Journal of Information Technologies and Systems Approach (IJITSA)

The International Journal of Information Technologies and Systems Approach (IJITSA) is a refereed global journal where a systemic interdisciplinary and/or a multi-methodology perspective of information systems, software engineering, and systems engineering are encouraged. The articles accepted in IJITSA address relevant and contemporaneous or recurrent and unsolved classic problems, opportunities, challenges, and solutions found in IT systems. The journal pursues a better understanding and development of the three addressed disciplines from an interdisciplinary and/or multi-methodology perspective focused on the construct IT system.
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