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Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Rehan Sadiq, Muhammad Faisal Javed, Fahid Aslam and Rayed Alyousef
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength predic...
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Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch and Hans-Jörg Bauer
In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital tw...
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Mahesha Pandit, Deepali Gupta, Divya Anand, Nitin Goyal, Hani Moaiteq Aljahdali, Arturo Ortega Mansilla, Seifedine Kadry and Arun Kumar
DePaaS has the potential to be used as a global, shared platform for availing software defects prediction services by choosing appropriate base project, defect prediction model and prediction granularity. Over time, DePaaS can potentially become a rich s...
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Xiaobing Yan, Qiqi Hao, Rui Yang, Jianyu Peng, Fengpeng Zhang and Sanyuan Tan
To identify the magnitude and direction of in situ stress in deeply buried tunnels, an inversion method for the stress field was proposed based on a finite number of measurement points of surface strain. Firstly, elastic strain data of finite points on t...
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Jianying Wei, Yuming Liu, Xiaochun Lu, Yu Feng and Yadi Wang
Tunnel construction projects are a classic type of repetitive project, and hold a crucial position in the construction industry. The linear scheduling method (LSM) has been in the spotlight in scheduling optimization for repetitive construction projects ...
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Nuray Gedik
In coastal engineering, empirical formulas grounded on experimental works regarding the stability of breakwaters have been developed. In recent years, soft computing tools such as artificial neural networks and fuzzy models have started to be employed to...
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Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji and Yong Liu
A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutr...
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Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji, Yong Liu
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A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutr...
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Yi-Shian Lee and Lee-Ing Tong
Solar energy has become an important energy source in recent years as it generates less pollution than other energies. A photovoltaic (PV) system, which typically has many components, converts solar energy into electrical energy. With the development of ...
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Pengcheng Wang, Weile Xu, Hao Zhu, Hui Tian and Guobiao Cai
Analytical target cascading (ATC) is a method for coordinating hierarchical system design optimization with a decomposition-based framework. Since a launch vehicle (LV) is usually powered by two or more stages of rocket motors, the overall design of the ...
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Patcharin Buayen and Jeeraporn Werapun
The multiple knapsack problem (0/1-mKP) is a valuable NP-hard problem involved in many science-and-engineering applications. In current research, there exist two main approaches: 1. the exact algorithms for the optimal solutions (i.e., branch-and-bound, ...
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