In this paper, we study a class of optimization problems, called Mathematical Programs with Cardinality Constraints (MPCaC). This kind of problem is generally difficult to deal with, because it involves a constraint t...
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In order to effectively reduce the probability of safety accidents in prefabricated building（PB） construction, optimize the reasonable allocation of safety investment, construction safety of PB was used as research ...
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In order to effectively reduce the probability of safety accidents in prefabricated building（PB） construction, optimize the reasonable allocation of safety investment, construction safety of PB was used as research object. By analyzing the key influencing factors, the prefabricated construction safety accident tree（FTA） was established, and the non-linear programming method was used in combination with the Cobb-Douglas function. Taking the minimum value of the top event occurrence probability as the objective function, an optimal allocation model of safety inputs was established. Sample projects were selected for case analysis. The research results show that daily safety management investment, safety education investment, and building construction sanitation measures investment can effectively reduce the probability of accidents. At present, construction enterprises generally have less investment in this area, which is far from reaching. The actual needs of the project, the enterprise should continue to increase these three inputs to achieve the best effect of controlling the probability of accidents.
A model is proposed in this paper to study the influential power of steady-state scam parameters of terminalsensitive submunition on the target. Then simulation is performed by using non-linear programming under Matla...
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Making use of Fisher information, we show that a broad class of object reconstruction problems can be accurately and efficiently solved by reconstructing the object iteratively, reconstructing only a subset of paramet...
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Many of the equations of motion appearing in the aerospace field are nonlinear, and the problem of input optimization under this equation of motion is important. There are two methods for solving the nonlinear optimal...
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Integration of renewable energy sources into conventional generation scheduling by considering economic and several environmental factors constitutes a multi-objective nonlinear optimization problem including several ...
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Integration of renewable energy sources into conventional generation scheduling by considering economic and several environmental factors constitutes a multi-objective nonlinear optimization problem including several equality and inequality constraints. Main objective regarding generation scheduling is encountered in attaining least emission of pollutants at a reduced cost for short-term period maintaining the system constraints. This paper proposes a methodology of the short-term hydro-thermal-wind generation scheduling (ST-HTWGS) problem based on Crisscross optimization (CSO) algorithm. The simulation results indicate that proposed CSO algorithm provides a better solution regarding in terms of economy and at a reduced emission than the existing heuristic methods including various complex constraints of ST-HTWGS problems.
In this paper, we propose a distributed solution to the navigation of a population of unmanned aerial vehicles (UAVs) to best localize a static source. The network is considered heterogeneous with UAVs equipped with r...
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This paper introduces a two-stage service restoration method for active distribution networks, which exploits the control capabilities of distributed generation (DG) units. The proposed service restoration method aims...
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This paper introduces a two-stage service restoration method for active distribution networks, which exploits the control capabilities of distributed generation (DG) units. The proposed service restoration method aims at minimising the out of service area with the minimum control actions considering customer priorities and the variation of load demand and renewable generation. To facilitate the solution of service restoration problem, the proposed method consists of two stages. The first stage proposes a mixed integer linear programming (MILP) model to determine the appropriate switch operations in order to restore the power supply to as many customers as possible. In the second stage, a nonlinear programming (NLP) model is proposed to calculate the steady state operating points of the network configuration calculated in the first stage that ensure the operation of the distribution network within its limits. Results on an 83-bus distribution system demonstrate the robustness and effectiveness of the proposed method in solving the service restoration problem.
This paper is devoted to a new approach for solving nonlinear programming (NLP) problems for which the Kuhn-Tucker optimality conditions system of equations is singular. It happens when the strict complementarity cond...
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According to the characteristics of offshore oilfield power grid, a nonlinear programming power flow model considering the characteristics of source and load is established, and a power flow solving method based on im...
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