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79
Experimental demonstrations of real-time MILP control
- in Proceedings of the AIAA Guidance, Navigation and Control Conference, AIAA2003–5802
, 2003
"... This paper presents results from recent hardware experiments using two forms of on-line Mixed-integer Linear Programming (MILP). The demonstrations were performed on wheeled ground vehicles, with a view to future use on autonomous teams of UAVs. The first experiment uses MILP at a high-level to acco ..."
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Cited by 16 (5 self)
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-level to account for a limited detection horizon while maneuvering in the presence of obstacles. The second performs low-level control with MILP to reject disturbances while performing a rendezvous. The paper describes the design of the multi-vehicle testbed and discusses the architecture and implementation
An MILP Approach to Cancer Chemotherapy Dose Regime Design
"... Cancer chemotherapy is a form of treatment in which both healthy and diseased tissues are adversely aected by dosing; this requires the clinician make decisions which balance the eectiveness of treatment with toxic-ity eects, nancial, and logistical constraints. This pa-per presents a model-based a ..."
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-based approach for chemotherapy treatment scheduling that accounts for both drug tox-icity constraints and the dosing constraints associated with clinical practice. A mixed-integer linear program-ming (MILP) approach is applied to a nonlinear system considered previously in an optimal control framework by Martin
Short-term scheduling under uncertainty using MILP sensitivity analysis
- Industrial and Engineering Chemistry Research
"... Uncertainty is a very important factor in process operations. While uncertainty arises in some of the parameters, the optimal schedule of deterministic model could become infeasible. In our work, a systematic framework is developed to address the problem of accounting for uncertainty in the scheduli ..."
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Cited by 6 (4 self)
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Uncertainty is a very important factor in process operations. While uncertainty arises in some of the parameters, the optimal schedule of deterministic model could become infeasible. In our work, a systematic framework is developed to address the problem of accounting for uncertainty
Stryk. Multi-robot systems optimization and analysis using MILP and CLP
- Workshop 1: Formal Models and Methods for Multi-Robot Systems at 7th International Joint Conference on Autonomous Agents and Multi-Agent Systems
"... Formal methods for multi-robot system analysis, especially logicbased methods, operate on discrete models. Optimization methods for simultaneous trajectory and task allocation, namely mixed integer dynamic optimization, operate on hybrid dynamical models which take into account a model of the motion ..."
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Cited by 3 (2 self)
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Formal methods for multi-robot system analysis, especially logicbased methods, operate on discrete models. Optimization methods for simultaneous trajectory and task allocation, namely mixed integer dynamic optimization, operate on hybrid dynamical models which take into account a model
An MILP approach for short-term hydro scheduling and unit commitment with head-dependent reservoir
- IEEE Trans. Power Syst. 2008
"... Abstract—The paper deals with a unit commitment problem of a generation company whose aim is to find the optimal scheduling of a multiunit pump-storage hydro power station, for a short term period in which the electricity prices are forecasted. The problem has a mixed-integer nonlinear structure, wh ..."
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Cited by 21 (0 self)
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, which makes very hard to handle the corresponding mathematical models. However, modern mixed-integer linear programming (MILP) software tools have reached a high efficiency, both in terms of solution accuracy and computing time. Hence we introduce MILP models of increasing complexity, which allow
A mixed integer linear programming (MILP) framework for infering time delay in gene regulatory networks
- Pac. Sym. Biocomput
, 2004
"... In this paper, an optimization based modeling and solution framework for inferring gene regulatory networks while accounting for time delay is described. The proposed framework uses the basic linear model of gene regulation. Boolean variables are used to capture the existence of discrete time delays ..."
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Cited by 14 (0 self)
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In this paper, an optimization based modeling and solution framework for inferring gene regulatory networks while accounting for time delay is described. The proposed framework uses the basic linear model of gene regulation. Boolean variables are used to capture the existence of discrete time
Multisite Capacity, Production and Distribution Planning with Reactor Transformation: MILP Model, Bilevel Decomposition Algorithm vs. . . .
- LAGRANGEAN DECOMPOSITION SCHEME. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 2010, IN PRESS, DOI: 10.1021/IE100559Y
"... In this paper we propose a multiperiod mixed-integer linear programming (MILP) model for the simultaneous capacity, production and distribution planning for a multi-site system including a number of production sites and markets. Multiple products are produced in several production trains that are lo ..."
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Cited by 2 (2 self)
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In this paper we propose a multiperiod mixed-integer linear programming (MILP) model for the simultaneous capacity, production and distribution planning for a multi-site system including a number of production sites and markets. Multiple products are produced in several production trains
Proceedings CPAIOR’03__________________________________ A Hybrid MILP/CP Decomposition Approach for the Scheduling of Batch Plants
"... A hybrid Mixed-Integer Linear Programming/Constraint Programming (MILP/CP) decomposition algorithm for the short-term scheduling of general batch plants is proposed. The decisions about the type and number of tasks performed as well as the assignment of units to tasks are made by the MILP master pro ..."
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-sizes and durations, different storage policies, resource constraints and sequence dependent changeover times are taken into account. The proposed algorithm appears to be two to three orders of magnitude faster than standalone MILP or CP models.
Receding Horizon Control of Autonomous Aerial Vehicles
- in Proceedings of the American Control Conference
, 2002
"... This paper presents a new approach to trajectory optimization for autonomous fixed-wing aerial vehicles performing large-scale maneuvers. The main result is a planner which designs nearly minimum time planar trajectories to a goal, constrained by no-fly zones and the vehicle's maximum speed and ..."
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Cited by 82 (23 self)
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horizon to reduce the computational e#ort of the planner and to incorporate feedback. In this approach, MILP is used to plan short trajectories that extend towards the goal, but do not necessarily reach it. The cost function accounts for decisions beyond the planning horizon by estimating the time
Minimum Energy CMOS Design with Dual Subthreshold Supply and Multiple Logic-Level Gates
"... Abstract—This paper presents a method for minimum energy digital CMOS circuit design using dual subthreshold supply voltages. Stringent energy budget and moderate speed requirements of some ultra low power systems may not be best satisfied just by scaling a single supply voltage. Optimized circuits ..."
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Cited by 8 (6 self)
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, after accounting for their cost, they offer advantage. Starting from a lowest per cycle energy design whose single supply voltage is in the subthreshold range, a new mixed integer linear program (MILP) finds a second lower supply voltage optimally assigned to gates with time slack. The MILP accounts
Results 1 - 10
of
79
