TY  - JOUR
T1  - A SMART-SELECTION-BASED GENETIC ALGORITHM FOR DELIVERY AND PICKUP PROBLEM WITH ORDER TIME WINDOWS
AU  - Çiçekli, Ural Gökay
AU  - Koçak, Aydın
AU  - Cihangir, Ege
PY  - 2025
DA  - August
Y2  - 2025
DO  - 10.21121/eab.20250309
JF  - Ege Academic Review
JO  - eab
PB  - Ege University
WT  - DergiPark
SN  - 1303-099X
SP  - 595
EP  - 608
VL  - 25
IS  - 3
LA  - en
AB  - In a highly competitive environment, businesses strive to optimize their distribution networks to reduce logistics costs. This study focuses on solving vehicle routing problems involving simultaneous delivery and pickup with time windows, addressing both backhaul and divisible delivery and pickup scenarios. A novel hybrid genetic algorithm incorporating smart selection and harem-based crossover methods is proposed to minimize transportation costs while adhering to capacity and time constraints. The smart selection method expedites the solution process by pre-selecting feasible vehicle-route combinations, significantly reducing the computational complexity. Computational experiments on real-world data from the automotive supply industry demonstrate that the proposed algorithm outperforms traditional approaches, achieving substantial cost reductions and high-quality solutions within shorter computation times.
KW  - Vehicle Routing Problem
KW  - Delivery and Pickup Problem
KW  - Genetic Algorithm
KW  - Smart Selection
KW  - Hybrid Optimization
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UR  - https://doi.org/10.21121/eab.20250309
L1  - https://dergipark.org.tr/en/download/article-file/4441530
ER  -