作者: Encapsulate 時(shí)間: 2025-3-21 20:20
https://doi.org/10.1007/978-1-4684-0203-2e optimization of welded box beams the deflection is formulated as the third objective function in addition to the cost and weight functions. The systematic incorporation of the cost analysis in the optimization procedure is shown in the case of a welded steel silo. The detailed strength and cost ca作者: 證實(shí) 時(shí)間: 2025-3-22 03:38
Stochastic Search in Discrete Structural Optimization Simulated Annealing, Genetic Algorithms and Nctive use of these methods. Finally, it must be borne in mind that these methods have a propensity to convergence to a relative optimum closest to the starting point, and this is a major weakness in the presence of multimodality in the design space. This chapter focusses on the application of recent作者: 轉(zhuǎn)折點(diǎn) 時(shí)間: 2025-3-22 05:37
Backtrack Method with Applications to Dso,e optimization of welded box beams the deflection is formulated as the third objective function in addition to the cost and weight functions. The systematic incorporation of the cost analysis in the optimization procedure is shown in the case of a welded steel silo. The detailed strength and cost ca作者: Contort 時(shí)間: 2025-3-22 10:40 作者: 捏造 時(shí)間: 2025-3-22 16:45 作者: 捏造 時(shí)間: 2025-3-22 19:03
Varicosities of the Lower Extremity,which are available in discrete sizes. As a vehicle for describing the methods the optimum design of trusses using rolled steel sections is used. The combinatorial nature of the problem is first briefly described and the necessity for heuristic methods for finding non-rigorous but very close discret作者: 外形 時(shí)間: 2025-3-22 22:26
https://doi.org/10.1007/978-1-4684-0203-2rete series of values are given for variables, the discrete optima can be determined by a complementary discretization which is also explained. Optimum design problems of stiffened and cellular plates, tubular trusses, welded box beams and welded steel silos are treated. In these applications the di作者: Lacerate 時(shí)間: 2025-3-23 02:23 作者: 小木槌 時(shí)間: 2025-3-23 09:36
0254-1971 his volume comprises problems and solution methods for discrete structural optimization. Exact, approximate and heuristic methods are presented applying deterministic and stochastic approaches.978-3-211-82901-1978-3-7091-2754-4Series ISSN 0254-1971 Series E-ISSN 2309-3706 作者: 皺痕 時(shí)間: 2025-3-23 13:36 作者: exceed 時(shí)間: 2025-3-23 13:52
https://doi.org/10.1007/978-3-7091-2754-4design; machines; optimization; structural optimization作者: 不透氣 時(shí)間: 2025-3-23 18:42
978-3-211-82901-1Springer-Verlag Wien 1997作者: FER 時(shí)間: 2025-3-24 02:16 作者: 蘑菇 時(shí)間: 2025-3-24 03:09
Discrete Structural Optimization978-3-7091-2754-4Series ISSN 0254-1971 Series E-ISSN 2309-3706 作者: hermitage 時(shí)間: 2025-3-24 06:34
Discrete Structural Optimization: Design Problems and Exact Solution Methods,t known designs of this kind are those in which the variables are selected from given finite sets of values. In most cases these sets are lists of prefabricated structural and machine elements available on the market. Also some other more complex problems of DSO are discussed. There are designs in w作者: Boycott 時(shí)間: 2025-3-24 12:00
Stochastic Search in Discrete Structural Optimization Simulated Annealing, Genetic Algorithms and Nitional continuous variable problems. In some applications, the number of design variables may be quite large. Additionally, the design space in such problems may be nonconvex, and in some situations, even disjointed. The use of conventional mathematical programming methods in such problems is fraug作者: Lipoma 時(shí)間: 2025-3-24 17:50
Heuristic Methods in Discrete Structural Optimization,which are available in discrete sizes. As a vehicle for describing the methods the optimum design of trusses using rolled steel sections is used. The combinatorial nature of the problem is first briefly described and the necessity for heuristic methods for finding non-rigorous but very close discret作者: FLAGR 時(shí)間: 2025-3-24 19:21
Backtrack Method with Applications to Dso,rete series of values are given for variables, the discrete optima can be determined by a complementary discretization which is also explained. Optimum design problems of stiffened and cellular plates, tubular trusses, welded box beams and welded steel silos are treated. In these applications the di作者: 撤退 時(shí)間: 2025-3-25 00:00
Dual Methods in Discrete Structural Optimization,ll elaborated methods of continuous optimum structural design is not possible..In this chapter the dual approach in a discrete structural optimization problems is presented The constraints of the problem are scaled by means of Lagrangean multipliers, added to the cost function and relaxing from the 作者: Critical 時(shí)間: 2025-3-25 07:11
https://doi.org/10.1007/978-1-4684-0203-2 part of the chapter containing four basic, exact solution methods. There are: Cutting-Plane Algorithm, Branch-and-Bound Method, Dynamic Programming and Controlled Enumeration Method. All these methods are illustrated with examples ta hen from listed literature.作者: 假裝是你 時(shí)間: 2025-3-25 10:41 作者: sorbitol 時(shí)間: 2025-3-25 15:16
Discrete Structural Optimization: Design Problems and Exact Solution Methods, part of the chapter containing four basic, exact solution methods. There are: Cutting-Plane Algorithm, Branch-and-Bound Method, Dynamic Programming and Controlled Enumeration Method. All these methods are illustrated with examples ta hen from listed literature.作者: 拱形面包 時(shí)間: 2025-3-25 17:07 作者: allude 時(shí)間: 2025-3-25 22:41
0254-1971 his volume comprises problems and solution methods for discrete structural optimization. Exact, approximate and heuristic methods are presented applying deterministic and stochastic approaches.978-3-211-82901-1978-3-7091-2754-4Series ISSN 0254-1971 Series E-ISSN 2309-3706 作者: LAPSE 時(shí)間: 2025-3-26 00:35
https://doi.org/10.1007/978-1-4684-0203-2ngean multipliers as variables must be solved. The dual function is a continuous, concave but not differentiable everywhere. We treat the dual problem as a nondifferentiable steepest ascent problem using in a solution a generalization of the gradient — the subgradient.作者: 得罪 時(shí)間: 2025-3-26 07:27
Dual Methods in Discrete Structural Optimization,ngean multipliers as variables must be solved. The dual function is a continuous, concave but not differentiable everywhere. We treat the dual problem as a nondifferentiable steepest ascent problem using in a solution a generalization of the gradient — the subgradient.作者: foodstuff 時(shí)間: 2025-3-26 10:05
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