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多桨倾转高速旋翼飞行器推进桨优化设计
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作者 张子瀚 李尚斌 +2 位作者 袁明川 樊枫 黄水林 《直升机技术》 2023年第3期21-28,共8页
布置于多桨倾转高速旋翼飞行器机翼前缘的推进桨的效率对该类飞行器的飞行性能有着重要的影响。发展了一种结合CFD分析和代理优化方法的优化设计手段,以推进桨的悬停效率和前飞效率为目标对一直径1.8 m的推进桨的气动布局参数进行了优... 布置于多桨倾转高速旋翼飞行器机翼前缘的推进桨的效率对该类飞行器的飞行性能有着重要的影响。发展了一种结合CFD分析和代理优化方法的优化设计手段,以推进桨的悬停效率和前飞效率为目标对一直径1.8 m的推进桨的气动布局参数进行了优化设计。优化结果表明该方法可在拉力不减的前提下使推进桨悬停效率和前飞效率均较基准提高1%以上。在此基础上对基准桨叶和优化桨叶的流场进行了对比研究,初步分析了优化桨叶效率提升的内在机理。 展开更多
关键词 多桨倾转飞行器 推进桨 代理优化设计 CFD分析
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基于新型高维代理模型的气动外形设计方法 被引量:2
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作者 赵欢 高正红 夏露 《航空学报》 EI CAS CSCD 北大核心 2023年第5期131-147,共17页
随着现代飞行器性能需求的不断提高,飞行器精细化气动优化设计要求更高可信度的CFD数值分析及更多的独立设计变量,使得基于代理模型的全局优化算法在超过一定的设计变量后显著降低了效率,难以满足复杂工程的设计需求。而目前的高维代理... 随着现代飞行器性能需求的不断提高,飞行器精细化气动优化设计要求更高可信度的CFD数值分析及更多的独立设计变量,使得基于代理模型的全局优化算法在超过一定的设计变量后显著降低了效率,难以满足复杂工程的设计需求。而目前的高维代理模型过程复杂、时间花费高,缺乏对工程问题的广泛适应性。针对以上难题,提出了利用监督式非线性降维代理建模方法来缓解代理优化过程中的高维变量设计难题。该方法将核主成分分析(非线性)降维与高斯回归过程模型统一训练,自适应构建新型高维代理模型,并随着优化过程不断学习改进模型,建立了从高维输入到输出的准确映射,有效解决了传统高维代理模型训练时间花费高和适应性差等难题。然后基于该新型代理模型发展了适用于飞行器复杂气动设计的高维全局优化设计方法,并将其应用到美国航空航天学会(AIAA)优化小组发布的2个复杂跨声速优化算例中。通过与传统代理优化方法全面比较,验证了所提的方法能大幅提高飞行器高维变量全局优化效率和全局寻优能力。 展开更多
关键词 精细化气动优化 基于代理模型的优化设计 全局优化 高维变量 非线性降维代理模型 高维优化设计
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Multidisciplinary design optimization for air-condition production system based on multi-agent technique 被引量:2
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作者 杨海东 鄂加强 屈挺 《Journal of Central South University》 SCIE EI CAS 2012年第2期527-536,共10页
In order to guarantee the overall production performance of the multiple departments in an air-condition production industry, multidisciplinary design optimization model for production system is established based on t... In order to guarantee the overall production performance of the multiple departments in an air-condition production industry, multidisciplinary design optimization model for production system is established based on the multi-agent technology. Local operation models for departments of plan, marketing, sales, purchasing, as well as production and warehouse are formulated into individual agents, and their respective local objectives are collectively formulated into a multi-objective optimization problem. Considering the coupling effects among the correlated agents, the optimization process is carried out based on self-adaptive chaos immune optimization algorithm with mutative scale. The numerical results indicate that the proposed multi-agent optimization model truly reflects the actual situations of the air-condition production system. The proposed multi-agent based multidisciplinary design optimization method can help companies enhance their income ratio and profit by about 33% and 36%, respectively, and reduce the total cost by about 1.8%. 展开更多
关键词 multi-agent system production operation multidisciplinary optimization self-adaptive chaos optimization immune optimization algorithm
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A surrogate-based optimization algorithm for network design problems 被引量:2
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作者 Meng LI Xi LIN Xi-qun CHEN 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2017年第11期1693-1704,共12页
Network design problems (NDPs) have long been regarded as one of the most challenging problems in the field of transportation planning due to the intrinsic non-convexity of their bi-level programming form. Furthermo... Network design problems (NDPs) have long been regarded as one of the most challenging problems in the field of transportation planning due to the intrinsic non-convexity of their bi-level programming form. Furthermore, a mixture of continuous/discrete decision variables makes the mixed network design problem (MNDP) more complicated and difficult to solve. We adopt a surrogate-based optimization (SBO) framework to solve three featured categories of NDPs (continuous, discrete, and mixed-integer). We prove that the method is asymptotically completely convergent when solving continuous NDPs, guaranteeing a global optimum with probability one through an indefinitely long run. To demonstrate the practical performance of the proposed framework, numerical examples are provided to compare SBO with some existing solving algorithms and other heuristics in the literature for NDP. The results show that SBO is one of the best algorithms in terms of both accuracy and efficiency, and it is efficient for solving large-scale problems with more than 20 decision variables. The SBO approach presented in this paper is a general algorithm of solving other optimization problems in the transportation field. 展开更多
关键词 Network design problem Surrogate-based optimization Transportation planning HEURISTICS
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The Characteristic of Enterprise Systems Engineering in the New Economic Era and Its Innovation
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作者 Yuan Zhang 《Journal of Systems Science and Information》 2006年第1期171-176,共6页
This paper reviewed the mode and optimization of the traditional enterprise's system engineering management briefly by combining the new situation of economy in the 21st century, pondered over its development and opt... This paper reviewed the mode and optimization of the traditional enterprise's system engineering management briefly by combining the new situation of economy in the 21st century, pondered over its development and optimization in the new century, explored its new development and optimization under the new situation of economy. 展开更多
关键词 new economic era enterprise's systems engineering information management OPTIMIZATION
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