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Damir Karabaic, Marko Kr?ulja, Sven Maricic and Lovro Liveric
The most commonly used subsea pipeline installation method is the S-Lay method. A very important and complex task in an S-Lay installation engineering analysis is to find the optimal pipelay vessel installation configuration for every distinctive pipelin...
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Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a...
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Botang Li, Qiong Chen, Yui-yip Lau and Maxim A. Dulebenets
This study proposes a novel fuzzy programming optimization model for tugboat scheduling, directly considering multiple berthing bases, time windows, and operational uncertainties. The uncertainties in the required number of tugboats, the earliest start t...
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Yifan Ding, Xiaodong Du, Changrui Wang, Wei Tian, Chao Deng, Ke Li and Zihang Wang
The conformal antenna is a precision device installed on the wing of an aircraft, and its components are distributed on a curved surface. Quality detection is required after assembly. In solving the path planning problem for conformal antenna surface det...
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Michael Tetteh, Allan de Lima, Jack McEllin, Aidan Murphy, Douglas Mota Dias and Conor Ryan
Grammatical Evolution is a Genetic Programming variant which evolves problems in any arbitrary language that is BNF compliant. Since its inception, Grammatical Evolution has been used to solve real-world problems in different domains such as bio-informat...
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Toufik Mzili, Ilyass Mzili, Mohammed Essaid Riffi and Gaurav Dhiman
This paper presents a new hybrid algorithm that combines genetic algorithms (GAs) and the optimizing spotted hyena algorithm (SHOA) to solve the production shop scheduling problem. The proposed GA-SHOA algorithm incorporates genetic operators, such as un...
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Daqing Wu, Rong Yan, Hongtao Jin and Fengmao Cai
In the operational, strategic and tactical decision-making problems of the agri-food supply chain, the perishable nature of the commodities can represent a particular complexity problem. It is, therefore, appropriate to consider decision support tools th...
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Sangwon Park, Wonsik Kang, Young-Soo Park and Daewon Kim
Jinhae Bay in South Korea is a common typhoon shelter, but there are no established criteria for the area or vessel capacity. The aim of this study was to determine the optimal capacity and arrangement of typhoon shelters for vessels in the sea area surr...
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Xuan Liu and Daofang Chang
In this paper, the essence and optimization objectives of the hull parts path optimization problem of CNC laser cutting are described, and the shortcomings of the existing optimization methods are pointed out. Based on the optimization problem of the hul...
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Kara Layne Johnson and Nicole Bohme Carnegie
Genetic algorithms mimic the process of natural selection in order to solve optimization problems with minimal assumptions and perform well when the objective function has local optima on the search space. These algorithms treat potential solutions to th...
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