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Optimal training of integer-valued neural networks with mixed integer programming [PDF]
PLoS ONE, 2023 Recent work has shown potential in using Mixed Integer Programming (MIP) solvers to optimize certain aspects of neural networks (NNs). However the intriguing approach of training NNs with MIP solvers is under-explored.
Tómas Thorbjarnarson, Neil Yorke-Smith
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Applications of Stochastic Mixed-Integer Second-Order Cone Optimization
IEEE Access, 2022 Second-order cone programming problems are a tractable subclass of convex optimization problems that can be solved using polynomial algorithms. In the last decade, stochastic second-order cone programming problems have been studied, and efficient ...
Baha Alzalg, Hadjer Alioui
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Integration of P-hub Location Problem and 3M Supply Chain [PDF]
International Journal of Supply and Operations Management, 2019 The present study proposes an integrated model for hub location problem in a Multi-location, Multi-period, Multi-commodity (3M), three echelon supply chain. The problem is formulated as a mixed integer programming model and solved using GAMS software. As
M.B. Fakhrzad +3 more
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Exact solution approaches for the workload smoothing in assembly lines
Engineering Science and Technology, an International Journal, 2021 In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer
Derya Dinler, Mustafa Kemal Tural
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An Optimal Generation Scheduling Approach Based on Linear Relaxation and Mixed Integer Programming
IEEE Access, 2020 This paper proposes an optimal generation scheduling approach based on linear relaxation and mixed integer programming, which is used to solve the generation dispatch problem.
Yunkai Lei +5 more
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A fuzzy mixed integer programming for marketing planning [PDF]
Management Science Letters, 2014 One of the primary concerns to market a product is to find appropriate channel to target customers. The recent advances on information technology have created new products with tremendous opportunities.
Abolfazl Danaei +2 more
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A new interactive approach for solving fully fuzzy mixed integer linear programming [PDF]
Yugoslav Journal of Operations Research, 2020 In this paper, a novel method to solve Fully Fuzzy Mixed Integer Linear Programming (FFMILP) problems is presented. Our method is based on the definition of membership function and a fuzzy interactive technique for solving the classical multiobjective ...
Khalili Goudarzi Farzaneh +2 more
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Automatic instantiation of a Variable Neighborhood Descent from a Mixed Integer Programming model
Operations Research Perspectives, 2017 In this paper we describe the automatic instantiation of a Variable Neighborhood Descent procedure from a Mixed Integer Programming model. We extend a recent approach in which a single neighborhood structure is automatically designed from a Mixed Integer
Tommaso Adamo +3 more
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Adaptive Cut Selection in Mixed-Integer Linear Programming
Open Journal of Mathematical Optimization, 2023 Cutting plane selection is a subroutine used in all modern mixed-integer linear programming solvers with the goal of selecting a subset of generated cuts that induce optimal solver performance.
Turner, Mark +3 more
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A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem
Discrete Dynamics in Nature and Society, 2016 A special parallel production lines scheduling problem is studied in this paper. Considering the time window and technical constraints, a mixed integer linear programming (MILP) model is formulated for the problem.
Huizhi Ren, Shenshen Sun
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