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Titlebook: EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization; H.C. Rodrigues,J. Herskovits,J. F. A. Madeira Con

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樓主: HEMI
31#
發(fā)表于 2025-3-26 21:54:27 | 只看該作者
Network’s Trip Demand Estimation as a Problem of Combinatorial Optimizationpose the presence of so-called . origin-destination matrix. Unlike such an approach we assume that the only input data for trip demand estimation problem is traffic load on arcs. Thus, in this paper we intend to avoid using . origin-destination matrix for trip demand estimation and show that in such
32#
發(fā)表于 2025-3-27 03:21:01 | 只看該作者
Elasto-Plastic Topology Optimization Under Stochastic Loading Conditionsrection. Therefore, in this study we consider problem of topology optimization for structures subjected to probabilistic loading. The proposed method applies basic findings from probability theory, which allow to transform the original problem of topology optimization under single probabilistic load
33#
發(fā)表于 2025-3-27 08:55:31 | 只看該作者
Applications of Iterative Nondifferentiable Optimization to Some Engineering Approximation Problemsinconsistent) systems of linear algebraic equations are considered. Such problems for measurement of quantities arise, for example, in engineering, physics, etc. A classical approach for solving these two types of problems is the discrete least squares data fitting method. An alternative approach fo
34#
發(fā)表于 2025-3-27 11:48:44 | 只看該作者
35#
發(fā)表于 2025-3-27 15:24:31 | 只看該作者
36#
發(fā)表于 2025-3-27 20:16:24 | 只看該作者
Hydraulic Design and Optimization of a LNG Hydraulic Turbine Runnerfor hydraulic turbine impeller was established based on experimental design theory, the response surface approximation and genetic algorithm. The external characteristics are obtained by the commercial software ANSYS FLUENT. The efficient and head were chosen as objective functions, and the response
37#
發(fā)表于 2025-3-28 01:11:18 | 只看該作者
38#
發(fā)表于 2025-3-28 03:10:35 | 只看該作者
Algorithmic System Design of Thermofluid Systemsto optimal systems. Therefore, focusing on a system perspective reveals new potential for optimization. In this context, we examine thermofluid systems which can be interpreted as fluid systems with superimposed heat transfer. The structure of such systems can be abstracted as a graph – more specifi
39#
發(fā)表于 2025-3-28 08:03:28 | 只看該作者
40#
發(fā)表于 2025-3-28 12:47:11 | 只看該作者
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