Guoqiang Li

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In this paper, a novel algorithm based on particle optimization algorithm (PSO) and chaos optimization algorithm (COA) is presented to solve traveling salesman problem. Some new operators are proposed to overcome the difficulties of implementing PSO into solving the discreet problems. Meanwhile embedded with chaos optimization algorithm (COA) it can enhance(More)
Effectiveness forecast of especial vehicle is important in vehicle development and compare research. This paper establishes forecast model of vehicle effectiveness by factors analysis with interpretability, and RBF (radial basis function) neural networks with short training time and precise function. Secondly, the result of forecasted and original is(More)
This paper presents our recent efforts, ZenLDA, an efficient and scalable Collapsed Gibbs Sampling (CGS) system for Latent Dirichlet Allocation (LDA) training, which is thought to be challenging that both data parallelism and model parallelism are required because of the Big sampling data with up to billions of documents and Big model size with up to(More)
Article history: Received: 18.12.2013. Received in revised form: 8.2.2014. Accepted: 18.2.2014. To solve the hardware/software (HW/SW) partitioning problem of a single Central Processing Unit (CPU) system, a hybrid algorithm of Genetic Algorithm (GA) and Tabu Search(TS) is studied. Firstly, the concept hardware orientation is proposed and then used in(More)
In recent years,MANET gain a significant attention for the potential application in battlefield, disaster relief, traffic monitoring and environment monitoring. Construction and maintain of virtual backbone, and energy effective routing in mobile ad hoc wireless network come to be the basic and main problem in MANET. This paper proposed the efficient ENMCDS(More)
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