Results 51 to 60 of about 286,228 (120)
Deterministic and Robust Optimization Approach for Single Artillery Unit Fire Scheduling Problem
In this study, deterministic and robust optimization models for single artillery unit fire scheduling are developed to minimize the total enemy threat to friendly forces by considering the enemy target threat level, enemy target destruction time, and ...
Yong Baek Choi +2 more
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Robust Optimization of a MEMS Accelerometer Considering Temperature Variations
A robust optimization approach for a MEMS accelerometer to minimize the effects of temperature variations is presented. The mathematical model of the accelerometer is built.
Guangjun Liu +3 more
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Robustness-based portfolio optimization under epistemic uncertainty
In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data ...
Md. Asadujjaman, Kais Zaman
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Study on Robust Design for Aviation Gear Reducer
Aviation gear reducer usually has high requirements for weight, strength, reliability and efficiency. Considering the random characteristic of working conditions, the difference of technological level and the fluctuation of mechanical parameters such as ...
Han Binghai
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Aiming at the problems in the process of robust optimization design of involute gear,such as determining the dynamic load coefficient and multi-parameter nonlinear coupling,a method of dynamic load coefficient modified calculation is proposed.Through ...
周晓玲 +4 more
doaj
Robust Modeling Method and Robust Optimization of Energy Absorption Box
In the design of thin-walled, energy-absorbing structures, uncertain factors can lead to deviations in the actual energy absorption performance from the design expectations.
Quanwei Che, Yanbin Sun, Tianshi Xu
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Towards fair class-wise robustness: class optimal distribution adversarial training
Adversarial training has proven to be a highly effective method for improving the robustness of deep neural networks against adversarial attacks. Nonetheless, it has been observed to exhibit a limitation in terms of robust fairness, characterized by a ...
Hongxin Zhi +4 more
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In the deterministic optimization design of planar linkage,the optimal solution which meets various constraints is generally close to constraint boundary.With random fluctuation of variables,the optimal solution tends to become infeasible solution ...
潘金坤
doaj
A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply. [PDF]
Wang X, Jiang R, Qi M.
europepmc +1 more source

