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Computing Optimized Path Integrals for Knapsack Feasibility

Endric Daues(ed2691***at***columbia.edu)
Ulf Friedrich(ulf.friedrich***at***tum.de)

Abstract: A generating function technique for solving integer programs via the evaluation of complex path integrals is discussed from a theoretical and computational perspective. Applying the method to solve knapsack feasibility problems, it is demonstrated how the presented numerical integration algorithm benefits from pre-optimizing the path of integration. After discussing the algorithmic set-up in detail, a numerical study is implemented to evaluate the computational performance of the pre-optimized integration method and the algorithmic parameters are tuned to a set of knapsack instances. The goal is to highlight the method's computational advantage for hard knapsack instances with large coefficients and high numbers of feasible solutions.

Keywords: Integer Programming, Cauchy's Integral Formula, Path Optimization, Generating Functions, Computational Study.

Category 1: Integer Programming ((Mixed) Integer Linear Programming )

Citation:

Download: [PDF]

Entry Submitted: 06/22/2020
Entry Accepted: 06/22/2020
Entry Last Modified: 06/22/2020

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