July 1, 2025Engineering ReportsOpen Access

Performance Evaluation of Emerging Meta‐Heuristic Algorithms on Vehicle Routing Problem

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Whale optimization algorithm (WOA) consistently outperforms others in small and medium-scale vehicle routing problems, improving efficiency.
Giza pyramids construction (GPC) excels in large-scale vehicle routing challenges, handling complex datasets effectively.
Comprehensive evaluation used multiple criteria including execution time, solution quality, and convergence rate, enhancing decision-making.
Findings highlight the need to enhance lower-performing algorithms for better application in logistics and supply chain management.

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Implication

Comprehensive assessment identifies whale optimization algorithm as the most effective for vehicle routing, suggesting prioritization for logistics applications.

Cite This Study

Barati et al. (2025) studied this question.

synapsesocial.com/papers/68af2d83cf1dd9ea359e5c44 https://doi.org/10.1002/eng2.70198

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Implication

Comprehensive assessment identifies whale optimization algorithm as the most effective for vehicle routing, suggesting prioritization for logistics applications.

Performance Evaluation of Emerging Meta‐Heuristic Algorithms on Vehicle Routing Problem

Key Points

Discussion

Implication

Cite This Study

Performance Evaluation of Emerging Meta‐Heuristic Algorithms on Vehicle Routing Problem

Key Points

Discussion

Implication

Cite This Study