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Chao Wang, Jianhui Xu, Yuefeng Li, Tuanhui Wang and Qiwei Wang
Rockbursts are serious threats to the safe production of mining, resulting in great casualties and property losses. The accurate prediction of rockburst is an important premise that influences the safety and health of miners. As a classical machine learn...
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Hang Li, Ruiyao Liu, Shuai He, Renlong Xin, Haijun Wang, Zhenglei Yu and Zhenbang Xu
In the aerospace field, lightweight design is a never-ending pursuit. By integrating structural bionics and structural optimization, the vertical bracket of a wide angle auroral imager is designed and manufactured by additive manufacturing technology in ...
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Mustafa Erkan Turan and Tulin Cetin
Sewer systems are a component of city infrastructure that requires large investment in construction and operation. Metaheuristic optimization methods have been used to solve sewer optimization problems. The aim of this study is to investigate the effects...
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Mirabela Augustina Pruteanu, Nicoleta Ungureanu, Valentin Vladu?, Mihai-Gabriel Matache and Mihaela Nitu
This study aims to optimize and assess the quality of the sorting process into homogeneous size classes of dried and chopped medicinal plants, by obtaining multivariate regression functions of polytropic and polynomial forms. Assessment of sorting qualit...
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Hüseyin Karaca, Kamil Tekin, Süleyman Bahadir Keskin, Özlem Kasap Keskin
Pág. 447 - 460
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Daming Zhang, Hui Zhao and Gang Li
Because of the problem that the size of a coal pillar is difficult to determine and it is easy to waste coal resources, taking the Sangou Xindu coal industry as the engineering background, this paper examined the roof cutting and pressure relief technolo...
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Bartosz Sawik, Javier Faulin, Elena Pérez-Bernabeu
Pág. 61 - 68
This research concerns multi-criteria vehicle routing problems. Mathematical models are formulated with mixed-integer programming. We consider maximization of capacity of truck vs. minimization of utilization of fuel, carbon emission and production of no...
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Alessio Cappelli, Mauro Zaninelli, Sirio Cividino, Mattia Fiscella, Enrico Cini, Alessandro Parenti and Piernicola Masella
Chickpeas are one of the most widely consumed legumes in the world. Nevertheless, the literature is lacking studies on the effect of drying and milling processes on chickpea flour characteristics, thus motivating this work. The first aim of this work is ...
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Zhiping Zeng, Xiaodong He, Xudong Huang, Weidong Wang, Di Wang, Ayoub Abdullah Senan Qahtan, Weidong Yuan and Houdou Saidi Boumedienne
In view of the problems present in the construction process of the embedded track structure of modern tram, we have designed a Novel Fastener Type Ballastless Track (NFTBT) for tram. To optimize the size of the NFTBT?s structure, the finite element model...
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Jian Tan, Henk Polinder, Antonio Jarquin Laguna, Peter Wellens and Sape A. Miedema
Currently, the techno-economic performance of Wave Energy Converters (WECs) is not competitive with other renewable technologies. Size optimization could make a difference. However, the impact of sizing on the techno-economic performance of WECs still re...
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Myung Soo Kang and Yun-Kyu An
This paper proposes a fatigue crack evaluation technique based on digital image correlation (DIC) with statistically optimized adaptive subsets. In conventional DIC analysis, a uniform subset size is typically utilized throughout the entire region of int...
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Zhongya Fan, Huiyun Feng, Jingang Jiang, Changjin Zhao, Ni Jiang, Wencai Wang and Fantang Zeng
Outliers are often present in large datasets of water quality monitoring time series data. A method of combining the sliding window technique with Dixon detection criterion for the automatic detection of outliers in time series data is limited by the emp...
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Soon Ho Kwon, Donghwi Jung and Joong Hoon Kim
A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, whi...
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Ulrich A. Ngamalieu-Nengoue, Pedro L. Iglesias-Rey and F. Javier Martínez-Solano
The drainage network always needs to adapt to environmental and climatic conditions to provide best quality services. Rehabilitation combining pipes substitution and storm tanks installation appears to be a good solution to overcome this problem. Unfortu...
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Daniel Mora-Melià, Jimmy H. Gutiérrez-Bahamondes, Pedro L. Iglesias-Rey and F. Javier Martínez-Solano
Different Population-based Algorithms (PbAs) have been used in recent years to solve all types of optimization problems related to water resource issues. However, the performances of these techniques depend heavily on correctly setting some specific para...
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Daniel Mora-Melià, Jimmy H. Gutiérrez-Bahamondes, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano
Pág. 1 - 17
Different Population-based Algorithms (PbAs) have been used in recent years to solve all types of optimization problems related to water resource issues. However, the performances of these techniques depend heavily on correctly setting some specific para...
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Navid Nourian, Mamdouh El-Badry and Maziar Jamshidi
One of the primary objectives of truss structure design optimization is to minimize the total weight by determining the optimal sizes of the truss members while ensuring structural stability and integrity against external loads. Trusses consist of pin jo...
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Ryan Dieter Lang and Andries Petrus Engelbrecht
The choice of which objective functions, or benchmark problems, should be used to test an optimization algorithm is a crucial part of the algorithm selection framework. Benchmark suites that are often used in the literature have been shown to exhibit poo...
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George Tsakalidis, Kostas Georgoulakos, Dimitris Paganias and Kostas Vergidis
Business process optimization (BPO) has become an increasingly attractive subject in the wider area of business process intelligence and is considered as the problem of composing feasible business process designs with optimal attribute values, such as ex...
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Thu Huynh Van, Sawekchai Tangaramvong, Soviphou Muong and Phuc Tran Van
This paper proposes the use of enhanced comprehensive learning particle swarm optimization (ECLPSO), combined with a Gaussian local search (GLS) technique, for the simultaneous optimal size and shape design of truss structures under applied forces and de...
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