Abstract
In this paper we construct an integer programming model for the order planning problem. Our model takes into account inventory matching and production planning simultaneously, and considers multiple objectives. We design a hybrid Particle Swarm Optimization, in which new heuristic rules to repair infeasible solutions are proposed, and then compare the results of using PSO, Tabu Search and the hybrid algorithm to solve the models of three different order quantities. Numerical results show that the hybrid PSO/TS algorithm provides more effective solutions.
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Zhang, T., Shao, Z., Zhang, Y., Yu, Z., Jiang, J. (2010). A Hybrid Particle Swarm Optimization Algorithm for Order Planning Problems of Steel Factory. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_70
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DOI: https://doi.org/10.1007/978-3-642-13495-1_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13494-4
Online ISBN: 978-3-642-13495-1
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