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2020 – today
- 2024
[j19]Xiao Zhang, Jie Gao
, Liang Gao, Mi Xiao:
B-ITO: A MATLAB toolbox for isogeometric topology optimization with Bézier extraction of NURBS. Adv. Eng. Softw. 191: 103620 (2024)- [j18]Zan Yang, Sheng Chu, Jiansheng Liu, Haobo Qiu, Mi Xiao, Liang Gao:
Incorporating gradient information into dimension perturbation mutation for high-dimensional expensive optimization. Swarm Evol. Comput. 84: 101446 (2024) - 2023
- [j17]Mian Zhou, Mi Xiao, Mingzhe Huang, Liang Gao:
Multi-material isogeometric topology optimization in multiple NURBS patches. Adv. Eng. Softw. 186: 103547 (2023) - 2022
- [b1]Jie Gao, Liang Gao, Mi Xiao:
Isogeometric Topology Optimization - Methods, Applications and Implementations. Springer 2022, ISBN 978-981-19-1769-1, pp. 1-212 - [j16]Wei Li, Liang Gao, Akhil Garg, Mi Xiao:
Multidisciplinary robust design optimization considering parameter and metamodeling uncertainties. Eng. Comput. 38(1): 191-208 (2022) - [j15]Wei Li, Congbo Li, Liang Gao, Mi Xiao:
Risk-based design optimization under hybrid uncertainties. Eng. Comput. 38(3): 2037-2049 (2022) - 2021
- [j14]Behrooz Keshtegar, Debiao Meng, Mohamed El Amine Ben Seghier, Mi Xiao, Trung Nguyen-Thoi, Dieu Tien Bui:
A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization. Eng. Comput. 37(3): 1695-1708 (2021) - [j13]Jinhao Zhang, Mi Xiao, Liang Gao:
A new local update-based method for reliability-based design optimization. Eng. Comput. 37(4): 3591-3603 (2021) - [j12]Jie Xu, Mi Xiao, Hao Li, Liang Gao:
An effective design method for mechanical metamaterials with negative Poisson's ratios. Int. J. Manuf. Res. 16(3): 309-324 (2021) - [j11]Mi Xiao, Jinhao Zhang, Liang Gao:
A Kriging-assisted sampling method for reliability analysis of structures with hybrid uncertainties. Reliab. Eng. Syst. Saf. 210: 107552 (2021) - [j10]Wei Li, Mi Xiao, Akhil Garg, Liang Gao:
A New Approach to Solve Uncertain Multidisciplinary Design Optimization Based on Conditional Value at Risk. IEEE Trans Autom. Sci. Eng. 18(1): 356-368 (2021) - 2020
- [j9]Mi Xiao, Jinhao Zhang, Liang Gao:
A system active learning Kriging method for system reliability-based design optimization with a multiple response model. Reliab. Eng. Syst. Saf. 199: 106935 (2020) - [j8]Jinhao Zhang, Liang Gao, Mi Xiao:
A composite-projection-outline-based approximation method for system reliability analysis with hybrid uncertainties. Reliab. Eng. Syst. Saf. 204: 107169 (2020)
2010 – 2019
- 2019
- [j7]Boxue Du, Zehua Wang, Jin Li, Mi Xiao, Hucheng Liang:
Surface FGM Insulator Based on BaTiO3 Magnetron Sputtering for Electric Field Grading of AC Gas Insulated Power Apparatus. IEEE Access 7: 62681-62688 (2019) - [j6]Wei Li, Mi Xiao, Yongsheng Yi, Liang Gao:
Maximum variation analysis based analytical target cascading for multidisciplinary robust design optimization under interval uncertainty. Adv. Eng. Informatics 40: 81-92 (2019) - [j5]Jinhao Zhang, Mi Xiao, Liang Gao, Sheng Chu:
Probability and interval hybrid reliability analysis based on adaptive local approximation of projection outlines using support vector machine. Comput. Aided Civ. Infrastructure Eng. 34(11): 991-1009 (2019) - [j4]Jinhao Zhang, Mi Xiao, Liang Gao:
An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation. Reliab. Eng. Syst. Saf. 188: 90-102 (2019) - [c10]Wei Li, Tong Wang, Mi Xiao, Mingzhu Lai, Liang Gao, Congbo Li:
Conditional Value at Riskbased Multidisciplinary Robust Design Optimization. CASE 2019: 30-35 - [c9]Meng Zhao, Xinyu Li, Liang Gao, Ling Wang, Mi Xiao:
An improved Q-learning based rescheduling method for flexible job-shops with machine failures. CASE 2019: 331-337 - [c8]Jinhao Zhang, Mi Xiao, Liang Gao, Yan Zhang:
MEAK-MCS: Metamodel Error Measure Function based Active Learning Kriging with Monte Carlo Simulation for Reliability Analysis. CSCWD 2019: 284-289 - 2018
- [j3]Jie Gao, Hao Li, Liang Gao, Mi Xiao:
Topological shape optimization of 3D micro-structured materials using energy-based homogenization method. Adv. Eng. Softw. 116: 89-102 (2018) - [c7]Wei Li, Mi Xiao, Yongsheng Yi, Liang Gao:
Robust Analytical Target Cascading Method for Multidisciplinary Design Optimization under Uncertainty. CSCWD 2018: 553-558 - [c6]Yongsheng Yi, Wei Li, Mi Xiao:
Mode Pursuing Sampling Method for Multidisciplinary Deisgn Optimization in Ship Conceptual Design. CSCWD 2018: 559-563 - 2017
- [c5]Sheng Chu, Mi Xiao, Liang Gao, Sen Wang, Yong Wang:
Improved parametric level set based structural topology optimization for minimizing a global frequency response. CSCWD 2017: 366-371 - 2016
- [c4]Sheng Chu, Mi Xiao, Liang Gao, Lin Gui, Hao Li:
An effective structural boundary processing method based on support vector machine for discrete topology optimization. CSCWD 2016: 10-15 - 2015
- [j2]Mi Xiao, Xinyu Shao, Liang Gao, Zhen Luo:
A new methodology for multi-objective multidisciplinary design optimization problems based on game theory. Expert Syst. Appl. 42(3): 1602-1612 (2015) - [c3]Fengxiang Wang, Mi Xiao, Liang Gao:
Probabilistic analytical target cascading combined with Kriging metamodel for multidisciplinary robust design optimization. IEEM 2015: 1407-1411 - 2014
- [c2]Mi Xiao, Haihong Xiong, Liang Gao, Qiangzhuang Yao:
An Efficient Method for Structural Reliability Analysis Using Evidence Theory. CSE 2014: 144-149 - 2013
- [j1]Azhar Mahmood, Ke Shi, Shaheen Khatoon, Mi Xiao:
Data Mining Techniques for Wireless Sensor Networks: A Survey. Int. J. Distributed Sens. Networks 9 (2013) - 2012
- [c1]Yancui Shi, Xiangwu Meng, Yujie Zhang, Mi Xiao:
A trust calculating algorithm based on mobile phone data. GLOBECOM 2012: 2012-2017
Coauthor Index
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