Ligang Gong

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Submarine search-evasion path planning aims to acquire an evading route for a submarine so as to avoid the detection of hostile anti-submarine searchers such as helicopters, aircraft and surface ships. In this paper, we propose a numerical optimization model of search-evasion path planning for invading submarines. We use the Artificial Bee Colony (ABC)(More)
Predicting the secondary structure of protein has been the focus of scientific research for decades, but it remains to be a challenge in bioinformatics due to the increasing computation complexity. In this paper, AB off-lattice model is introduced to transforms the prediction task into a numerical optimization problem. Artificial Bee Colony algorithm (ABC)(More)
The prediction of protein secondary structures has been the focus of bioinformatics for decades. Since Christian Anfinsen's pioneering work, the prediction scheme has been transformed into a numerical optimization case, which purses for the lowest free-energy value. Artificial bee colony algorithm (ABC) is a famous intelligence algorithm, and this work(More)
Path planning of unmanned combat aerial vehicle (UCAV) aims to seek an optimal flight route considering threats and constraints along the way towards the terminal target. This paper proposed a novel probability density model to transform the initial path planning task into a numerical problem, which shows higher accuracy in comparison with the traditional(More)
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