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**排序方式：**共有450条查询结果，搜索用时 31 毫秒

1.

2.

An inexact Halley's method—Halley-PCG(preconditioned conjugate gradient) method is proposed for solving the systems of linear equations for improved Halley method either by Cholesky factorization exactly or by preconditioned conjugate gradient method approximately. The convergence result is given and the efficiency of the method compared to the improved Halley's method is shown. 相似文献

3.

The metaheuristic technique of Ant Colony Search has been revised here in order to deal with dynamic search optimization problems
having a large search space and mixed integer variables. The problem to which it has been applied is an electrical distribution
systems management problem. This kind of issues is indeed getting increasingly complicated due to the introduction of new
energy trading strategies, new environmental constraints and new technologies. In particular, in this paper, the problem of
finding the optimal reinforcement strategy to provide reliable and economic service to customers in a given time frame is
investigated. Utilities indeed need efficient software tools to take decisions in this new complex scenario. In past times,
utilities project the load growth for several years and then estimate when the capacity limit will be exceeded. Designers
then consider some feasible alternatives and select the optimal one in terms of performance and costs. In this paper, the
Distributed Generation, DG, technology considered in compound solutions with the installation of feeder and substations is
viewed as a new option for solving distribution systems capacity problems, along several years. The objective to be minimized
is therefore the overall cost of distribution systems reinforcement strategy in a given timeframe. An application on a medium
size network is carried out using the proposed technique that allows the identification of optimal paths in extremely large
or non-finite spaces. The proposed algorithm uses an adaptive parameter in order to push exploration or exploitation as the
search procedure stops in a local minimum. The algorithm allows the easy investigation of these kinds of complex problems,
and allows to make useful comparisons as the intervention strategy and type of DG sources vary. 相似文献

4.

Alessia Marigo 《Mathematics of Control, Signals, and Systems (MCSS)》2006,18(2):101-146

Limited capacity of communication channels has brought to the attention of many researchers the analysis of control systems
subject to a quantized input set. In some fundamental cases such systems can be reduced to quantized control system of type

*x*^{+}=*x*+*u*, where the*u*takes values in a set of 2*m*+1 integer numbers, symmetric with respect to 0. In this paper we consider these types of systems and analyse the reachable set after*K*steps. Our aim is to find a set of*m*input values such that the reachable set after*K*steps contains an interval of integers [−*N*, . . . ,*N*] with*N*as large as possible. For*m*=2,3 and 4, we completely solve the problem and characterize the metric associated to this quantized control system. 相似文献5.

The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regulation and tracking control problems. The idea behind this control strategy consists of associating Gaussian distributions to both the norms of the control actions and the tracking errors. This stochastic search model can be interpreted as a simple genetic particle evolution model with a natural birth and death interpretation. It converges on probability. A numerical example dealing with the control of a fluidized bed combustion power plant illustrates the feasibility and the performance of this control algorithm.K. Najim was partially supported by UK EPSRC Research cluster project, grant no. GR/S63779/. E. Ikonen was supported by the Academy of Finland, projects nos. 48545 and 203231. 相似文献

6.

The paper proposes an exact method to solve an optimization problem on arrangements with a linear-fractional objective function
and additional linear constraints. The efficiency of the solution algorithm is analyzed by means of numerical experiments.
__________
Translated from Kibernetika i Sistemnyi Analiz, No. 5, pp. 79–85, September–October 2006. 相似文献

7.

The operating rules of water allocation in the alpine OFIMA hydropower network of the Maggia River basin (Canton Tessin, Switzerland) are investigated in response to changes in the production policy and environmental and climatic factors. The study was carried out by means of a nonlinear programming approach where the objective function is approximated to a quadratic form with linear constraints, and implemented on a monthly time scale. Two systemís configurations with different details were accordingly investigated and compared to assess the response of the hydropower network to changes in the production policy, in the magnitude of the inflows and to different environmental requests. The optimal solution of water allocation corresponding to the new hypothetical production policy shows marked differences but similar benefits when compared to the one of the present operating rules, thus suggesting the good flexibility of the real network under such change. In its whole, this paper therefore highlights the importance of supporting strategic decisions by means of informatics tools and, in addiction, it provides a useful case study to test the performances of the software AQUARIUS implementing such a nonlinear programming technique. 相似文献

8.

Evolutionary algorithms with a self-adaptive step control mechanism like evolution strategies (ES) often suffer from premature fitness stagnation on constrained numerical optimization problems. When the optimum lies on the constraint boundary or even in a vertex of the feasible search space, a disadvantageous success probability results in premature step size reduction. We introduce three new constraint-handling methods for ES on constrained continuous search spaces. The death penalty step control evolution strategy (DSES) is based on the controlled reduction of a minimum step size depending on the distance to the infeasible search space. The two sexes evolution strategy (TSES) is inspired by the biological concept of sexual selection and pairing. At last, the nested angle evolution strategy (NAES) is an approach in which the angles of the correlated mutation of the inner ES are adapted by the outer ES. All methods are experimentally evaluated on four selected test problems and compared with existing penalty-based constraint-handling methods. 相似文献

9.

10.

Marina L. Gavrilova 《The Journal of supercomputing》2004,28(2):165-176

Results of empirical studies of four algorithms for collision detection optimization (CDO) in a framework of event-driven simulation of mechanically alloyed materials are presented. Performance analysis is conducted in a framework of a shaker ball mill model. The results of the study provide insights on how the physical characteristics of the modeled system, such as the number of particles, the distribution of their radii and the density of packing, influence the simulation. Algorithms presented are suitable for parallelization on EREW PRAM architecture with

*p*processors. 相似文献