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Research on the method of weight calculation and equipment arrangement optimization of tramcar
Published 2022-01-01“…Because of its low optimization efficiency and only searching the local optimal solution, the mixed integer linear programming algorithm was finally proposed to develop the tram equipment layout optimization model. …”
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42
Aggregator-Based Optimization of Community Solar Energy Trading Under Practical Policy Constraints: A Case Study in Thailand
Published 2025-06-01“…This paper presents SEAMS (Solar Energy Aggregator Management System), an optimization-based framework for managing solar energy trading in smart communities under Thailand’s regulatory constraints. …”
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43
Model-based quantitative analysis in two-time-scale decomposed on–off optimal control of greenhouse cultivation
Published 2024-12-01“…Moreover, the method of pulse width modulation cannot guarantee state constraint satisfaction. This paper suggests modifying actuators to supply continuous control inputs before implementing optimal control algorithms for maximum profit.…”
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44
A Dynamic Multi-Period, Mixed-Integer Linear Programming Model for Cost Minimization of a Three-Echelon, Multi-Site and Multi-Product Construction Supply Chain
Published 2020-08-01“…Model implementation is based on a spreadsheet optimization software and is followed by post-solution analysis, sensitivity analysis and multiple parameterized optimizations.…”
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45
AN ANALYSIS OF GOMORY CUTTING PLANE METHOD APPLICATION IN THE OPTIMIZATION OF PRODUCTION PROFIT: A CASE STUDY OF GRIYA BATIK NOTONEGORO JEMBER
Published 2023-04-01“…Gomory cutting plane method is one of the methods in linear programming that is needed to solve integer programming when the decision obtained is in the form of fractions with the addition of constraint known as gomory constraint. …”
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46
Supply–Demand Dynamics Quantification and Distributionally Robust Scheduling for Renewable-Integrated Power Systems with Flexibility Constraints
Published 2025-02-01“…Third, the bilevel optimization structure is transformed into a solvable mixed-integer programming problem using a zero-sum game equivalence. …”
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47
Frequency-constrained optimal power-gas flow with fast frequency response from power-to-gas units
Published 2025-06-01“…To obtain the global optimum of the FC-OPGF problem, a mixed-integer linear programming-based global optimization algorithm is developed. …”
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48
Optimizing population mean estimation in stratified sampling using linear cost: A simulation study
Published 2024-12-01“…To optimize survey costs, we employ integer programming and Lagrange multipliers. …”
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49
Planning Scheme for Optimal PMU Location Considering Power System Expansion
Published 2025-06-01“…Under these temporal and expansion scenarios, the optimal location of PMUs was determined based on mixed-integer linear optimization, with which the order of location of PMUs was determined. …”
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50
Integrated order acceptance and inventory policy optimization in a multi-period, multi-product hybrid production system
Published 2024-12-01“…This study addresses these challenges by proposing a mixed-integer mathematical programming model to optimize order acceptance/rejection and inventory decisions in a multi-period, multi-product hybrid make-to-order (MTO) and make-to-stock (MTS) system. …”
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51
Dynamic Scoring and Costing in the Orienteering Problem: A Model Based on Length of Stay
Published 2023-12-01“…A sensitivity analysis examines time and cost constraints and shows their decisive influence on the optimization of travel routes. …”
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52
A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders
Published 2025-02-01“…This study presents a comprehensive framework for optimizing energy management systems by integrating advanced methodologies for weather forecasting, energy cost analysis, and grid stability using a mixed-integer linear programming (MILP) algorithm. …”
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53
Leader-follower Optimal Selection Method for Distributed Control System in Active Distribution Networks
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54
Maximizing economic returns from sugarcane production through the optimization of a harvesting schedule: a case study of the Metahara sugar factory, Ethiopia
Published 2025-05-01“…Forecasting was conducted for 1,199 fields over nine months and integrated into a Harvest Schedule Mixed Integer Linear Programming model. The optimized schedule recommended changing the harvest month for 804 fields (67.06% of the total), potentially increasing net returns by 15.28% while meeting all constraints. …”
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55
Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity
Published 2019-12-01“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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56
Joint energy efficiency and spectral efficiency optimization algorithm for UDN under the restriction of interference threshold and backhaul capacity
Published 2019-12-01“…Aiming at the scenarios which consider the constraint of backhaul capacity restriction and interference threshold in ultra-dense networks (UDN),an integer linear programming (ILP) and Lagrangian dual decomposition (LDD) based joint optimization algorithm of energy efficiency and spectrum efficiency was proposed.In the proposed algorithms,the user association problem with the constraint of limited backhaul capacity was modelled as an ILP problem and then finished the connection between the user and the base station of microcell by solving this problem with dynamic programming method.Therefor,Lagrangian dual decomposition (LDD) was applied in an iteration algorithm for spectrum resource allocation and power allocation.The simulation results show that compared with traditional schemes,the proposed algorithm can significantly improve the energy efficiency and spectrum efficiency of system and use the microcell’s load capacity more efficiently.…”
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57
Prediction and Optimization for Multi-Product Marketing Resource Allocation in Cross-Border E-Commerce
Published 2025-06-01“…In the second stage, the resource allocation problem is formulated as a large-scale integer programming model, which is then transformed into a minimum-cost flow problem to ensure computational efficiency while preserving solution optimality. …”
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58
An Optimization Strategy for Generator Start-up Sequence After Blackouts Considering the Cyber System Fault
Published 2022-09-01“…And then, the time uncertainty of cyber system fault is addressed by employing the scenario analysis method. An optimal start-up sequence model of generators is proposed with the expectation of maximum power systems’ total generation as objective function, and taking into account the constraints including the start-up time constraint of generator units, the auxiliary variables constraint related to the cyber system fault, and the start-up power constraint of generator units. …”
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59
Optimization of Material Flow and Product Allocation in Inter-Unit Operations: A Case Study of a Refrigerator Manufacturing Facility
Published 2025-01-01“…<i>Methods</i>: This study develops a mixed-integer programming (MIP) model to optimize material flow and product routing in manufacturing. …”
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60
A MACHINE SPEED OPTIMIZATION PROBLEM IN A CAPACITATED FELT PRODUCTION SYSTEM
Published 2025-08-01“…The MSO problem is formulated as a mixed-integer linear programming (MILP) model, which is NP-hard to solve for optimal production decisions. …”
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