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Christos Bormpotsis, Mohamed Sedky and Asma Patel
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations...
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Guangzhong Liu, Sheng Zhang, Guojie Ma and Yipeng Pan
In order to solve the problem of many constraints and a complex navigation environment in the path planning of unmanned surface vehicles (USV), an improved sparrow search algorithm combining cubic chaotic map and Gaussian random walk strategy was propose...
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Jeffrey O. Agushaka and Absalom E. Ezugwu
A situation where the set of initial solutions lies near the position of the true optimality (most favourable or desirable solution) by chance can increase the probability of finding the true optimality and significantly reduce the search efforts. In opt...
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Qiang Zheng, Bai-Wei Feng, Zu-Yuan Liu and Hai-Chao Chang
The particle swarm optimisation (PSO) algorithm has been widely used in hull form optimisation owing to its feasibility and fast convergence. However, similar to other intelligent algorithms, PSO also has the disadvantages of local premature convergence ...
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Marek T. Michalewicz,Lukasz P. Orlowski,Yuefan Deng
Pág. 16 - 47
We introduce a method of constructing classes of graphs by algorithmic removal of entire groups of edges. Our approach to creating new classes of graphs is to focus entirely on the structure and properties of the adjacency matrix. At an initialisation st...
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