computational complexity; genetic algorithms; mathematical operators; vehicle routing; MOGAs; POCSX; VRP complexity; best cost route crossover; brute force approach; crossover operators; genetic operators; multiobjective VRPs; multiobjective genetic algorithms; multiobjective vehicle routing problem with time-windows; optimization; partially optimized cyclic shift crossover; vehicle routing problem complexity; Biological cells; Genetic algorithms; Optimization; Sociology; Statistics; Vehicles; Crossover; Multi-objective Genetic Algorithm; Multi-objective Vehicle Routing Problem; Mutation;
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