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Showing 1 to 20 of 28 for “"Mixed Integer Linear Program (MILP)"”.
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Optimization tools for process planning
… complex can be formulated as a multiperiod, mixed-integer linear program (MILP). This MILP can then be reformulated by exploiting lot sizing substructures. While the reformulation produces a tight linear programming relaxation, it also introduces a large number of variables and constraints.
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Optimization of a Hydrogen Alternative Aviation Fuel Supply Chain Under Demand and Emissions Constraints - A Case Study of Canada
… reduction commitments was investigated using a mixed-integer-linear-program (MILP) optimization model that minimized the total energy consumed “energy intensity” for a hydrogen-based alternative aviation fuel supply chain. The model provided (i) optimal jet fuel blend ratios and, (ii) the number …
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Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery
… supply chains--we discuss a network flow-based mixed-integer linear program (MILP) model to identify the critical factors in optimizing reverse supply chain design decisions to optimize profit. The model is fast, intuitive, flexible, and robust to uncertainty. Its outputs include specific design …
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Decentralized resource allocation for synchronized tasks through Adaptive Large Neighborhood Search (ALNS)
… resources from independent suppliers. A Mixed-Integer Linear Program (MILP) is used by the consumer to select the least costly bids that can be combined to fulfill a task's requirements.
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Computational design and optimization of infrastructure policy in water and agriculture
… and then, we use the outcome as an input to a Mixed Integer Linear Program (MILP) that investigates the feasibility of seawater desalination for agricultural irrigation under different water costing schemes. Further, we use numerical simulations of partial differential equations to study the …
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Revenue optimization for a hotel property with different market segments : demand prediction, price selection and capacity allocation
… market segment. We feed these predictions into a mixed integer linear program (MILP) to optimize prices and capacity allocations at the same time. We prove that the MILP can be equivalently solved as a linear program, and then show that it produces upper and lower bounds for the expected revenue …
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Optimal Charging Scheduling for Electric Vehicles Based on a Moving Horizon Approach
… vehicle charging scheduling problem as a mixed-integer linear program (MILP). The problem is to be solved by an aggregator that provides charging services in a residential community. The proposed formulation maximizes the profit of the aggregator, enhancing the utilization of available …
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Planning and scheduling in pharmaceutical supply chains
… we present a multi-period, continuous-time, mixed-integer linear program (MILP) model that addresses this important problem for the pharmaceutical plant using multiple parallel production lines in campaign mode, and producing products with multiple intermediates. Here, the aim is to decide …
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Robust planning for heterogeneous UAVs in uncertain environments
… to reduce the uncertainty in the environment. A Mixed-Integer Linear Program (MILP) is presented that can be solved for the optimal strike and reconnaissance mission. This approach explicitly considers the coupling in the problem by capturing the reduction in uncertainty associated with the …
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Planning and scheduling of concurrent high-level activities for UUV mission operations
… and solves the PWRATSP formulation as a mixed integer linear program (MILP). Finally, the algorithm employs a receding horizon approach to improve MILP computational performance and account for unexpected events and changes to the environment. Simulation results for test cases combining …
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A robust optimization approach to network design
… problems are formulated as a convex mathematical program. To extend this formulation to discrete optimization problems, such as the link placement sub-problem, it is reformulated as a mixed integer linear program (MILP) by extending tools from robust optimization to Gaussian variables. Bounds are …
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Using tactical flight level resource allocation to alleviate congested en-route airspace
… is a decision-aiding tool comprised of a Mixed-Integer Linear Program (MILP) that is solved using a an A* Search-based Branch & Bound framework. Two metrics, measuring cumulative delay reduction and fuel burn savings, are used to benchmark the performance of the methodology. A combination …
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Low-carbon transformation of the German and European electricity systems
… effects. The third chapter extends ELMOD-DE to a mixed-integer linear program (MILP) to determine nodal investment for renewable integration in gas-fired power stations, in pumped-storage hydroelectric plants, and in HVAC and HVDC transmission lines for the years 2024 and 2034. The second part …
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Optimizing Traveling Salesman Problem in Multi-Agent Systems with Practical Constraints
… the tours into a feasible solution using a Mixed-Integer Linear Program (MILP) with significantly few variables and constraints. For the MA-FSTSP, we initially decompose the problem into subproblems of one truck with multiple drones, compute routes for trucks without drones, and use these in …
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Enhancing network robustness via shielding
… and general failure models. We develop a mixed integer linear program (MILP) to obtain the minimum cost shielding to guarantee the connectivity of a single source-destination (SD) pair under a general failure model, and exploit geographical properties to decompose the shielding problem …
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On Throughput Maximization in a Multi-hop MIMO Ad Hoc Network
… allocation for SM and IC. We formulate it as a mixed integer linear program (MILP), which cannot be solved efficiently by commercial softwares even for moderate sized networks. Thus, we develop an efficient polynomial time algorithm by customizing the sequential fixing framework. Through …
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Allocation strategy for production network designed to mitigate risk
… all drugs in a short period of time. A mixed-integer linear program ("MILP") was developed to capture variable costs of the formulation & fill process for each drug product ("DP") and market combination. The objective of this model is to minimize total supply chain costs subject to …
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Directional Communications to Improve Multicast Lifetime in Ad Hoc Networks
… for signal reception. We develop a flexible mixed-integer linear program (MILP) designed to optimize max-min multicast path lifetime for directional antenna equipped networks in the presence of interference. The MILP is utilized to perform a comparison directional antenna use for signal …
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Resource Optimization Strategies and Optimal Architectural Design for Ultra-Reliable Low-Latency Applications in Multi-Access Edge Computing
… server computing capabilities. Formulated as a mixed-integer linear program (MILP), it provides an optimal schedule for service migrations and bandwidth allocation, addressing the challenges posed by computation-intensive and communication-sensitive applications. Moreover, tailoring to an indoor …
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Use of isoperformance, constraint programming, and mixed integer linear programing for architecture tradespace exploration of passive Optical Earth Observation Systems
… techniques, isoperformance, and constraint programming to rapidly construct potential space-based passive optical EO sensor architecture concepts which meet a given set of customer requirements. Cost estimates are also generated for each sensor concept via integration with …
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