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Solving the GAP by Cutting Its Relaxed Problem

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Intelligent Computing & Optimization (ICO 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 569))

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Abstract

A new technique for solving the generalized assignment problem (GAP) is presented. In this technique the GAP model is relaxed into a transportation problem (TP). Relaxing the GAP model into a TP is not a new technique. What is new is the generation of cuts from the constraint violations and then solve as a single problem at every iteration. This has the advantage that combinatorial explosion which is a nuisance is suppressed at every stage. The cuts generated from the violations are added to the current linear programming simplex tableau and then we update the optimal solution. In this way there is no need to resolve the problem as was the case in the earlier versions of the branch and bound (BB) method for transportation problem.

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Correspondence to Elias Munapo .

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Munapo, E., Tawanda, T., Nyamugure, P., Kumar, S. (2023). Solving the GAP by Cutting Its Relaxed Problem. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_79

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