Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 133 for “"Mixed Integer Linear Programming"”.
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Trajectory optimization using mixed-integer linear programming
… However, they can be formulated as mixed-integer linear programs (MILP) that can be solved for global optimality using powerful, commercial software. This thesis provides several extensions to previous work using MILP. The constraints for avoidance are extended to prevent plume …
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Mixed integer linear programming approach for solving assembly scheduling problems
… between operations. It has been formulated as a Mixed Integer Linear Program and is modeled as a flow-like problem. The objective of the problem is to reduce the total makespan (cumulative lead time) of production of final product. In addition to that, move sizes and batch sizes of operations are …
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Online trajectory planning for UAVs using mixed integer linear programming
… thesis presents a improved path planner using mixed-integer linear programming (MILP) to solve a receding horizon optimization problem for unmanned aerial vehicles (UAV's). Using MILP, hard constraints for obstacle and multi-vehicle avoidance as well as an approximation of vehicle dynamics are …
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Coordination and control of UAV fleets using mixed-integer linear programming
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2002.
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Equitable Bus Route Electrification Based on a Mixed Integer Linear Programming Approach
… be electrified on the same time scale, we use Mixed Integer Linear Programming (MILP) methods and a quantification of transportation equity in various objective functions to decide which bus routes originating from the Cabot depot should be prioritized for electrification benefits from an …
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Real-time path-planning using mixed-integer linear programming and global cost-to-go maps
… of obstacles is an infinite-dimension nonlinear optimal control problem. Such a problem is intractable in real-time and simplifications need to be made. In this thesis, the author presents the mechanisms used to design a path-planner with real-time and long-range capabilities. The approach …
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A mixed-integer linear programming (MILP) model for dynamic coordinated signal optimization along a traffic corridor
… and induced demand. We develop a dynamic Mixed-Integer Linear Programming (MILP) framework for coordinated arterial signal optimization. Our contributions include a unified optimization model that jointly determines cycle length, phase sequencing, green-time allocation, and offset …
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Experiments in real time path planning for a small unmanned helicopter using mixed integer linear programming
We use mathematical programming to perform simulated and actual flight experiments with the MIT autonomous helicopter platform. The experimental platform mechanical hardware, avionics and software architecture are described. Mixed Integer Linear Programming formulations for guidance experiments in …
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An Approach to Optimising the Design of a Repeaterless Global Quantum Network
… and coverage area from prior designs. We develop mixed-integer linear programming models to optimise detector placement and consider switching in such networks, proving it to be very beneficial. We develop mixed-integer linear programming models to optimise trusted node and fibre placement in …
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Sustainable Closed-Loop Supply Chaing Network Design
… problem was formulated deterministically via Mixed Integer Linear Programming (MILP), and nondeterministically via Fuzzy Multi-objective Mixed Integer Linear Programming (FMOMILP) model, by considering sustainability and uncertainty. Fuzzy programming approaches were utilized to solve the …
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Optimization Models for Inland Haulage Transportation of Containers
… ContainerSizes: an efficient assignment Mixed Integer Linear Programming (MILP) model is formulated which solves large scale instances in a reasonable solution time and can be implemented on variants of the container drayage problem. • Heterogenous Container Sizes: a Mixed Integer Linear …
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Safe and Efficient Motion Planning in Robotic Manipulation through Formal Methods
… addresses these issues by developing (1) a mixed-integer linear programming (MILP)-based approach to plan safe paths for rigid-body objects; and (2) a learned control barrier function (CBF) tailored for manipulators with multiple degrees of freedom (DoF) and an associated framework CBF-RRT …
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Optimal Implementation of Simulink Models on Multicore Architectures with Partitioned Fixed Priority Scheduling
… two approaches to solve the problem: (a) a mixed integer linear programming (MILP) formulation; and (b) a problem specific exact algorithm that may run several magnitudes faster than MILP.
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A distributed embedded software architecture for multiple Unmanned Aerial Vehicles
… multithreaded module enables concurrent onboard Mixed-Integer Linear Programming (MILP) optimization. The Mission Manager Graphical User Interface (GUI) monitors the status of each Onboard Planning Module on a team of UAVs using the onboard planning protocol. Two task assignment scenarios are …
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Warehouse network design for a commodity chemicals manufacturer
… cost and service level. This research applies a mixed integer linear programming method to evaluate factors that drive existing inefficiencies in a warehouse network belonging to a Thai commodity chemicals manufacturer. The objective is to determine an optimal warehouse network configuration that …
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Bi objective multi depot location routing problem with time window for EVs
… for electric vehicles (EVs), modeled as a Mixed Integer Linear Programming (MILP) problem. The mathematical model integrates cost minimization with workload fairness under time windows. A custom metaheuristic algorithm, combining a hybrid Genetic Algorithm (GA) and Ant Colony Optimization …
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Multi-parametric Programming for Microgrid Operational Scheduling
This study presents a multi-parametric programming (MPP) based approach for energy management in microgrids. The algorithm creates operational strategies for efficient and tractable coordination of distributed energy sources in a residential level microgrid. The hybrid energy system comprises of …
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Distribution network optimization in the uniform rental industry
… posed by this complexity, this thesis develops a mixed integer linear programming model for a uniform rental company. The company's product families are routed through intermediary distribution centers, while others bypass these points and move directly to a regional distribution center. Various …
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The design of a bioenergy potential map and a GIS-enabled optimization model for biofuel production in India
… analysis. The optimization model is built as a mixed integer linear programming problem to solve for the optimal locations, number and scale of the biorefinery, and biomass flows to it. Biosynthetic natural gas (bioSNG) production technology, GoBiGas, is used to test the model. The levelized …
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Optimal GENCO bidding strategy
… methods. Several techniques are proposed here: Mixed Integer Linear Programming, a hybrid method, as well as Evolutionary Algorithms. Evolutionary Algorithms share a common mechanism, stochastic searching per generation. The stochastic property makes evolutionary algorithms robust and adaptive …
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