The Bee System (an artificial bee swarm) is introduced in this paper. The proposed approach is applied to the Traveling Salesman Problem. The obtained results are very promising. The potential applications of the developed Bee System in the field of transportation engineering are discussed. The Bee System represents the new, successful application of emergent techniques based on natural metaphors, such as simulated annealing, genetic algorithms, and neural networks, to the complex engineering and management problems.
Abstract. This paper describes an "intelligent" system designed to make "realtime" decisions regarding route shapes for situations in which locations of the depot, nodes to be served and vehicle capacity are known, and the demand at the nodes is only approximated. The model developed is based on the combination of the new computational paradigm -the Bee System and Fuzzy Logic. The results are found to be very close to the best solution assuming that the future node demand pattern is known. The system applications appear to be very promising.
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