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Shaolong Yang, Jin Huang, Weichao Li and Xianbo Xiang
A growing number of researchers are interested in deploying unmanned surface vehicles (USVs) in support of ocean environmental monitoring. To accomplish these missions efficiently, multiple-waypoint path planning strategies for survey USVs are still a ke...
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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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Arun Onlam, Daranpob Yodphet, Rongrit Chatthaworn, Chayada Surawanitkun, Apirat Siritaratiwat and Pirat Khunkitti
This paper proposes a novel adaptive optimization algorithm to solve the network reconfiguration and distributed generation (DG) placement problems with objective functions including power loss minimization and voltage stability index (VSI) improvement. ...
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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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