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Hossein Moayedi, Dieu Tien Bui and Phuong Thao Thi Ngo
The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the purpose of soil shear strength (...
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Hsien-Pin Hsu and Tai-Lin Chiang
The proposed Improved Shuffled Frog-Leaping Algorithm (ISFLA) can be applied to allocate berthing positions to ships calling a container terminal with the quay being used a continuous line.
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Daniel Mora-Melia, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano, Pedro Muñoz-Velasco
Pág. 1 - 14
This paper presents a modified Shuffled Frog Leaping Algorithm (SFLA) applied to the design of water distribution networks. Generally, one of the major disadvantages of the traditional SFLA is the high number of parameters that need to be calibrated for ...
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Jie-Sheng Wang, Jiang-Di Song and Jie Gao
In order to realize the fault diagnosis of the polyvinyl chloride (PVC) polymerization kettle reactor, a rough set (RS)?probabilistic neural networks (PNN) fault diagnosis strategy is proposed. Firstly, through analysing the technique of the PVC polymeri...
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