Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming
This paper introduces $\Delta $ -MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA’s Deep Space Network (DSN) scheduling problem. This work is an extension of our original MILP framework (
Thomas Claudet +5 more
doaj +4 more sources
Maximizing comfort in Assembly Lines with temporal, spatial and ergonomic attributes [PDF]
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
doaj +6 more sources
A mixed-integer linear programming approach for robust state estimation
In this paper, a mixed integer linear programming (MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linearized measurement equations instead of the original nonlinear ones, the existing mixed integer nonlinear ...
Yanbo Chen, Jin Ma
doaj +3 more sources
Solver-Based Mixed Integer Linear Programming (MILP) Based Novel Approach for Hydroelectric Power Generation Optimization [PDF]
In Pakistan, hydroelectric power is one of the reliable sources of electricity with a capacity of 8,713 MW, which is 29% of the total energy mix. Hence, with such a vast resource capacity of hydroelectric power, its optimization and dispatch planning ...
Jasvinder Kumar +4 more
doaj +2 more sources
An integrated mixed-integer linear programming (MILP) model for urban water supply chain optimization [PDF]
Integrated water resources management is a systematic process for sustainable development, allocation and monitoring of water resources that is used for social, economic and environmental purposes.
Sahar Hanifeh Dokht +2 more
doaj +2 more sources
A mixed-integer linear programming method for time-dependent line planning in passenger railway systems. [PDF]
This paper addresses a line planning problem (LPP) that simultaneously optimizes both train and passenger times in passenger railway systems, considering time-dependent origin-destination-period demand and passenger train choice.
Xin Shi, Wenliang Zhou, Xiang Li
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Hydrogen (H2) is considered one of the main pillars for transforming the conventional “dark” energy system to a net-zero carbon or “green” energy system. This work reviewed the potential resources for producing low-carbon hydrogen in China, as well as the possible hydrogen production methods based on the available resources. The analysis and comparison
Zhongqian Ling +2 more
exaly +3 more sources
Exact solution approaches for the workload smoothing in assembly lines
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
doaj +1 more source
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee
Mixed-integer linear programming (MILP) stands as a notable NP-hard problem pivotal to numerous crucial industrial applications. The development of effective algorithms, the tuning of solvers, and the training of machine learning models for MILP resolution all hinge on access to extensive, diverse, and representative data.
Haoyu Wang 0004 +5 more
openaire +3 more sources
We address the issue of computing a global minimizer of the AC Optimal Power Flow problem. We introduce valid inequalities to strengthen the Semidefinite Programming relaxation, yielding a novel Conic Programming relaxation.
Oustry, Antoine
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