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Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures
Engineering design problems are often multi-objective in nature, which means trade-offs are
required between conflicting objectives. In this study, we examine the multi-objective …
required between conflicting objectives. In this study, we examine the multi-objective …
Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI
Robust optimization is an ideal solution for enhancing safety in tunnel construction in the
presence of unpredictable soil conditions, especially in large-diameter tunnel construction …
presence of unpredictable soil conditions, especially in large-diameter tunnel construction …
Prediction of CBR value of fine grained soils of Bengal Basin by genetic expression programming, artificial neural network and krigging method
For designing of pavements, California Bearing Ratio (CBR) value is an important parameter
which is used to determine the strength of the subgrade soils. However, it is to be mentioned …
which is used to determine the strength of the subgrade soils. However, it is to be mentioned …
A multi-step approach for reliability-based robust design optimization of truss structures
There are two general methods of robust design optimization (RDO) and reliability-based
robust design optimization (RBRDO) for the optimal design of structures with non …
robust design optimization (RBRDO) for the optimal design of structures with non …
Soft computing-based prediction of CBR values
Abstract California Bearing Ratio method is an empirical method of design of flexible
pavement developed by California Division of Highways, in 1928 for the design of …
pavement developed by California Division of Highways, in 1928 for the design of …
Multi-objective optimization of structural fire design
Probabilistic risk assessment can be used for determining a design with a residual risk that
is As Low As Reasonably Practicable (ALARP). Existing risk-based design approaches …
is As Low As Reasonably Practicable (ALARP). Existing risk-based design approaches …
[HTML][HTML] Multi-Objective Optimization of Outdoor Thermal Comfort and Sunlight Hours in Elderly Residential Areas: A Case Study of Bei**g, China
H Yan, L Zhang, X Ding, Z Zhang, Z Qi, L Jiang, D Bu - Buildings, 2024 - mdpi.com
To optimize the outdoor thermal comfort and sunlight hours of elderly residential areas in
cold regions of China, we collected data on streets and building forms from 121 elderly …
cold regions of China, we collected data on streets and building forms from 121 elderly …
Multi-objective structural optimization of the aluminum alloy subway car body based on an approximate proxy model
Y Li, Z Zhang, L Xu - Advances in mechanical engineering, 2022 - journals.sagepub.com
To improve the comprehensive structural performance and optimize the structural quality of
the aluminum alloy subway car body, a multi-objective structural optimization method based …
the aluminum alloy subway car body, a multi-objective structural optimization method based …
Robust optimization of EMU brake module based on interval analysis
Y Li, H Yin, Q **a - Multidiscipline Modeling in Materials and …, 2021 - emerald.com
Purpose This study aims to research the influence of non-probabilistic design variables on
interval robust optimization of electric multiple units (EMU) brake module, therefore obtain …
interval robust optimization of electric multiple units (EMU) brake module, therefore obtain …
Efficient robust design optimization of rail bridge hollow pier considering uncertain but bounded type parameters in metamodeling framework
A robust design optimization (RDO) of rail bridge hollow pier (RBHP) under uncertainty is
explored in the present paper. Uncertainty information about such structural system is often …
explored in the present paper. Uncertainty information about such structural system is often …