Vehicle Routing Optimization in Logistics Distribution Using Genetic Algorithms
Genetic algorithms are recognized as one of the effective methods for solving NP-hard problems. When applied to vehicle routing optimization in logistics distribution, the traditional genetic algorithm is enhanced by incorporating principles from immune algorithms. Experimental results demonstrate that this hybrid approach exhibits superior global and local search capabilities, faster convergence rates, and effectively addresses vehicle routing optimization challenges in logistics distribution.