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Hybrid Strategies for CVRP Initial Solution: Leveraging Weighted Score Insertion with Grid Search and Multiple Insertion with Iterative Tournament.

Authors :
Hafedh, Abbas G.
Hasan, Hamid M.
Source :
International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 1, p733-753, 21p
Publication Year :
2025

Abstract

This paper presents two novel strategies for solving the Capacitated Vehicle Routing Problem (CVRP): Weighted Score Insertion with Grid Search (WSI-GS) and Multiple Insertion with Iterative Tournament Selection (MIITS). The novelty of WSI-GS lies in its weighted demand-distance heuristic which uses balancing customer demand and proximity to the depot for node insertion, refined by systematic parameter optimization using a grid search. MIITS novelty is integration of iterative tournament selection to enhance solution diversity by a balance between exploration and exploitation in node insertion. This improves adaptability to various problem settings. Despite improved savings-based algorithms like Clarke-Wright and Parker-Holmes often showing superior overall performance, proposed methods outperformed in several Augerat benchmark instances, reaching optimal or better-than optimal (WSI-GS: P-n22-k2; MI-ITS: B-n50-k7, B-n52-k7, P-n19-k2, P-n20-k2, P-n21-k2, and P-n22-k2). The complementary characteristics of WSI-GS and MI-ITS position them as viable candidates for future hybrid frameworks, providing improved robustness and exploration in CVRP solutions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2185310X
Volume :
18
Issue :
1
Database :
Complementary Index
Journal :
International Journal of Intelligent Engineering & Systems
Publication Type :
Academic Journal
Accession number :
182062510
Full Text :
https://doi.org/10.22266/ijies2025.0229.52