An Efficient Mixed Integer Linear Programming Model for the Minimum Spanning Tree Problem
Finding a minimum spanning tree in a given network is a famous combinatorial optimization problem that appears in different engineering applications.
Tamer F. Abdelmaguid
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Security-constrained unit commitment (SCUC) is a complex optimization problem in power system operation, which is computationally intensive. To bring significant time-savings, this paper presents a graph convolutional network (GCN)-based SCUC approach ...
Xian Tang +3 more
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Computer assisted modelling of linear, integer and separable programming problems [PDF]
For mathematical programming (MP) to have greater impact upon the decision making process, MP software systems must offer suitable support in terms of model communication and modelling techniques .
Mitra, G, Darby-Dowman, K, Lucas, CA
core +6 more sources
Optimal Antibody Purification Strategies Using Data-Driven Models
This work addresses the multiscale optimization of the purification processes of antibody fragments. Chromatography decisions in the manufacturing processes are optimized, including the number of chromatography columns and their sizes, the number of ...
Songsong Liu, Lazaros G. Papageorgiou
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An Inverse QSAR Method Based on Linear Regression and Integer Programming
Background: Drug design is one of the important applications of biological science. Extensive studies have been done on computer-aided drug design based on inverse quantitative structure activity relationship (inverse QSAR), which is to infer chemical ...
Jianshen Zhu +5 more
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Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes
We aim at maximizing the comfort of operators in mixed-model assembly lines. To achieve this goal, we evaluate two assembly line balancing models: the first that minimizes the maximum ergonomic risk and the second one that minimizes the average absolute ...
Joaquin Bautista +2 more
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A Mixed-Integer Linear Programming (MILP) for Garment Line Balancing
This applied research article explores the application of Mixed-Integer Linear Programming (MILP) to address line-balancing challenges in the garment industry, focusing on optimizing production processes under multiple constraints. By integrating MILP with Lean Methodology principles, the study demonstrates significant improvements in operational ...
Ray Wai Man Kong +2 more
openaire +2 more sources
Multistage Expansion Co-Planning of Integrated Natural Gas and Electricity Distribution Systems
This paper focuses on expansion co-planning studies of natural gas and electricity distribution systems. The aim is to develop a mixed-integer linear programming (MILP) model for such problems to guarantee the finite convergence to optimality.
Mohammad Jooshaki +4 more
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Reformulating mixed-integer quadratically constrained quadratic programs [PDF]
It is well known that semidefinite programming (SDP) can be used to derive useful relaxations for a variety of optimisation problems. Moreover, in the particular case of mixed-integer quadratic programs, SDP has been used to reformulate problems, rather ...
Galli, L, Letchford, A. N.
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Unrelated parallel machine scheduling under machine availability and eligibility constraints to minimize the makespan of non-resumable jobs [PDF]
This study considers the scheduling problem of multiple independent and non-resumable jobs on unrelated parallel machines subject to machine availability and eligibility constraints.
Atıl Kurt, Ferda Can Çetinkaya
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