Abstract
This paper develops a novel bacterial foraging optimization with adaptive chemotaxis step to solve Vehicle Routing Problem with Time Windows (VRPTW). A non-linearly decreasing exponential modulation model is proposed to improve the efficient of the Bacterial Foraging Optimization algorithm for solving Vehicle Routing Problem with Time Windows (VRPTW). Compared with three other BFO algorithms, the proposed algorithm is superior and confirms its potential to solve Vehicle Routing Problem with Time Windows (VRPTW).
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Niu, B., Wang, H., Tan, LJ., Li, L., Wang, JW. (2012). Vehicle Routing Problem with Time Windows Based on Adaptive Bacterial Foraging Optimization. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_85
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DOI: https://doi.org/10.1007/978-3-642-31576-3_85
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