Research on the Vehicle Routing Problem with Time Windows by Cellular Ant Algorithm
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The vehicle routing problem with time windows, a well-known combinatorial optimization problem, holds a central place in logistics management. Cellular ant algorithm is a new optimization method for solving real problems by using both the evolutionary rule of cellular, graph theory and the characteristics of ant colony optimization. Cellular ant algorithm has more obvious advantages to solve such kind of combinatorial optimization problems than many other algorithms. The computational results for thirteen benchmark problems are reported and compared to those of known best approaches. The results show that the cellular ant algorithm is feasible and effective for the VRPTW. The clarity and simplicity of the cellular ant algorithm is greatly enhanced to ant colony optimization.
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