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The vehicle routing problem (VRP) is a very important combinatorial optimization and nonlinear programming problem in the fields of transportation, distribution and logistics. In this paper, a particle swarm optimization (PSO) algorithm with crossover for VRP is proposed. The PSO algorithm combined with the crossover operation of genetic algorithm (GA) can avoid being trapped in local optimum due...
A specialized genetic algorithm is proposed in this paper for path planning of vehicles based on time-dependent optimization criterion. A variable signal encoding scheme is adopted to represent the path and a particular fitness function is investigated for time-dependent shortest path planning. Domain heuristic knowledge based crossover, mutation and deletion operators are also specifically designed...
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