Abstract
The Inventory Routing Problem is an important problem in logistics and known to belong to the class of NP hard problems. In the bicriteria inventory routing problem the goal is to simultaneously minimize distance cost and inventory costs. This paper is about the application of indicator-based evolutionary algorithms and swarm algorithms for finding an approximation to the Pareto front of this problem. We consider also robust vehicle routing as a tricriteria version of the problem.
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Yang, Z., Emmerich, M., Bäck, T., Kok, J. (2015). Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Bioinspired Computation in Artificial Systems. IWINAC 2015. Lecture Notes in Computer Science(), vol 9108. Springer, Cham. https://doi.org/10.1007/978-3-319-18833-1_14
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DOI: https://doi.org/10.1007/978-3-319-18833-1_14
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