The current expansion planning model of offshore oilfield power systems considering the outage cost is a mixed-integer nonlinear programming (MINLP) problem of the high-dimensional solution space, which is difficult to ...
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The current expansion planning model of offshore oilfield power systems considering the outage cost is a mixed-integer nonlinear programming (MINLP) problem of the high-dimensional solution space, which is difficult to solve by conventional mathematical methods. In this paper, a decision variables dimension reduction method based on minimum cost flow is proposed to reduce the dimension of decision variables, which can improve the computational efficiency greatly. Besides, the global tabu search algorithm (GTSA) is developed to solve the MINLP problem. But it is difficult for the GTSA to find the global optimal scheme due to the high coupling between the unit commitment and the grid. To solve this problem, a novel unit-grid coordinated search strategy is proposed. In order to illustrate the performance of the proposed methods, a 30-node system adapted from the Bohai Sea offshore oilfield power system is employed. Numerical results illustrate the performance of the proposed methods.
An improved quantum-behaved particle swarm optimization algorithm (QPSO) algorithm is presented to solve the optimal weapon target assignment problem for surface-to-air missile systems in this paper. The optimal weapo...
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Accessing the point‐spread function (PSF) of a complex optical system is important for a variety of imaging applications. However, placing an invasive point source is often impractical, and estimating it blindly with...
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We show that a direct shooting method is mathematically equivalent to an indirect method in the sense of certain first-order conditions. Specific mathematical formulas pertaining to the equivalence of a direct shootin...
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This paper addresses path planning for small unmanned aerial vehicles (SUAS) in an unstructured environment with poorly understood and time varying obstacles. These environmental characteristics manifest in an evolvin...
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ISBN:
(数字)9781538682661
ISBN:
(纸本)9781538682678
This paper addresses path planning for small unmanned aerial vehicles (SUAS) in an unstructured environment with poorly understood and time varying obstacles. These environmental characteristics manifest in an evolving wildfire, which is used as the test-case for this work. An evidential framework is employed to estimate the current state of wildfire and the resulting heat aura at flight level. This approach accounts for ignorance in estimation that can result from frequent conflict among sensors operating in a harsh environment combined with a computational forecasting agent that must operate with poor models of fire evolution. The objective of SUAS mission design is to visit such points of high conflict in order to provide additional situational awareness. A novel unsupervised classification algorithm based on statistical formalism is developed to identify distinct keep-out zones within the estimated heat aura. Boundaries of identified obstacles are modeled as probabilistic barriers. The planning problem is posed as a chance-constrained optimal control problem, which is transcribed to a nonlinear program via pseudospectral discretization. It is shown that by actively varying the probability of violating obstacle boundaries, a family of solutions can be generated that elicit the risk associated with each mission design.
In this paper, an exact method is proposed to optimize two fractional linear functions over the efficient set of a fractional multiobjective linear problem (M OI LF P). This type of problems is encountered when there ...
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This study examines the impact of congestion, supply uncertainty and time dependent, unpredictable waterway conditions on the optimal operational planning, and transportation decisions of the inland waterway transport...
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In this paper, the class of semi E h-b-preinvex and pseudo E h-b-preinvex functions are defined as an extension of E-B-preinvex and h-preinvex functions. In this extension the functions E:Rn → Rn, h: [0,1] → , and b...
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In this paper, we introduce dynamics factor graphs as a graphical framework to solve dynamics problems and kinodynamic motion planning problems with full consideration of whole-body dynamics and contacts. A factor gra...
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Multi-Objective Mixed Integer Non-Linear programming problems (MO-MINLPs) appear in several real-world applications, especially in the mechanical engineering field. To determine a good approximated Pareto front for th...
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