Considering the characteristics of mesh reflector antenna, two adjusting methodologies are proposed in this paper. One is to search for highest reflector precision whilst satisfying nonlinear constrains, such as eigen...
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ISBN:
(纸本)0780393953
Considering the characteristics of mesh reflector antenna, two adjusting methodologies are proposed in this paper. One is to search for highest reflector precision whilst satisfying nonlinear constrains, such as eigen frequency, material strength and sides by finding the optimum adjusting cables' increment. The other is to search for the highest reflector precision and the minimum adjusting cable numbers whilst satisfying the same constraints as the above by finding out two kinds of variables, i.e., number of adjusting cables and increment of adjusting cables' length. Obviously the latter is a nonlinear programming problem with two objectives and both continuous and discrete designvariables. The numerical simulation of a 17 m cable mesh antenna is carried out to demonstrate the methodology given in this paper.
作者：
Lee, KSGeem, ZWNIST
Mat & Construct Res Div Bldg & Fire Res Lab Gaithersburg MD 20899 USA Univ Maryland
Dept Civil & Environm Engn College Pk MD 20742 USA
Most engineering optimization algorithms are based on numerical linear and nonlinear programming methods that require substantial gradient information and usually seek to improve the solution in the neighborhood of a ...
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Most engineering optimization algorithms are based on numerical linear and nonlinear programming methods that require substantial gradient information and usually seek to improve the solution in the neighborhood of a starting point. These algorithms, however, reveal a limited approach to complicated real-world optimization problems. If there is more than one local optimum in the problem, the result may depend on the selection of an initial point, and the obtained optimal solution may not necessarily be the global optimum. This paper describes a new harmony search (HS) meta-heuristic algorithm-based approach for engineering optimization problems with continuous design variables. This recently developed HS algorithm is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search so that derivative information is unnecessary. Various engineering optimization problems, including mathematical function minimization and structural engineering optimization problems, are presented to demonstrate the effectiveness and robustness of the HS algorithm. The results indicate that the proposed approach is a powerful search and optimization technique that may yield better solutions to engineering problems than those obtained using current algorithms. (c) 2004 Elsevier B.V. All rights reserved.
＜正＞These days robust design has become more and more important to raise reliability in the products under many kinds of imprecision, including human errors, modeling errors and so on. In the past, robust design onl...
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＜正＞These days robust design has become more and more important to raise reliability in the products under many kinds of imprecision, including human errors, modeling errors and so on. In the past, robust design only try to obtain the robust designvariables that have less sensitivity with quasi-optimum solutions. Recently, many researchers try to design not only of design variable’s value but also to its deviations. Which means that robust design tries to have wider range of designvariables and still keeps robustness in the design. For the simplicity of calculation, most of them assume independence of designvariables, thus, the ranges are determined by their upper and lower bound. However, in the real design almost every designvariables are not independent with the influence of constraints. In this study, we will newly propose the method that can consider relationships of designvariables, something like correlation of designvariables. We will start from investigation in the case of Linear Programming for its basic consideration. We will show the effectiveness of the method by some numerical examaples.
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