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Optimising the design of a supply chain network with economies of scale using mixed integer programming
Published 2011“…Using this linearisation technique, a mixed integer linear programming model is developed that can be efficiently solved using a branch-and-bound-based optimisation package. …”
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Optimization of Energy Consumption in Cloud Computing Datacenters
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Queuing-Based Optimization of EV Charging Stations: A Case Study of Manama City, Bahrain
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4
A matheuristic approach for solving the 2-connected dominating set problem
Published 2019“…Its performance is enhanced by combining it with a second local search method that uses a Mixed Integer Program. The performance of the proposed method is evaluated on large unit disc graphs having varying edge densities and on general graphs.…”
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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The problem is modelled using a mixed integer program (MIP) in which the charging time of an EB is pertinent to the battery’s state-of-charge level. …”
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Quarantine-aware home healthcare routing and scheduling: a bi-objective approach
Published 2025“…To address these pressing needs, our research introduces a Mixed Integer Linear Programming (MILP) model tailored to the COVID-19 era. …”
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A linear programming approach for the weighted graph matchingproblem
Published 1993“…The linear program is solved using a simplex-based algorithm. …”
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A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM
Published 2020“…The linear program is solved using a Simplex-based algorithm. …”
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A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…A multi-objective mixed-integer non-linear programming (MINLP) model is developed. …”
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Degree-Based Network Anonymization
Published 2020“…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. …”
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Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19
Published 2023“…To propose a model for planning the pharmaceutical supply chains, a mixed-integer linear programming (MILP) model is used for a four-echelon supply chain design. …”
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
Published 2017Get full text
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14
MIPLIB truckload PDPTW instances derived from a real-world drayage case
Published 2018“…We report, in this paper, on the structure of the real-world problem, the mechanism by which the real data was transformed into the test instances, the Mixed Integer Programming formulation used to solve these instances, the results obtained, and sources in the literature describing alternative uses for these instances.…”
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A Framework for Project Time-Cost Optimization Considering Float Consumption Impact
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16
On the periodic hierarchical Chinese postman problem
Published 2021“…Given that the resulting integer programming model makes use of a big number of binary variables and given the extended time horizon considered, 30 days in our case, the problem is characterized by a high level of complexity. …”
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Convex Hull Representations Of Models For Computing Collisions Between Multiple Bodies
Published 2020“…For this case, we again compare an integer programming approach with its linear programming convex hull representation, and exhibit the effectiveness of solving a sequence of mathematical programs for each time segment over a global programming scheme which considers all segments at once. …”
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Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks
Published 2022“…Within this context, the problem is modelled as a closed queueing network (CQN) combined with mixed-integer nonlinear programming (MINLP) to determine the optimal fleet size. …”
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Global memory mapping for FPGA-based reconfigurable systems
Published 2001“…An intelligent memory assignment minimizes the total latency of the design and the interconnection requirements due to memory accesses. A complete Integer Linear Programming (ILP) formulation of the problem results in an optimized memory mapping; however, the formulation is complex and takes a very long time to produce a solution. …”
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Transformations for Variants of the Travelling Salesman Problem and Applications
Published 2017Get full text
doctoralThesis
