Shaoyong Zhao

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This paper presents a novel hybrid approach for solving the Container Loading (CL) problem based on the combination of immune particle swarm optimization (IPSO) and Integer Linear Programming (ILP) model. More precisely, an IPSO engine works as a generator of reduced instances for the original CL problem, which are formulated as ILP(More)
This An accurate prediction of important production indexes such as recovery rate and concentrate grade is essential for successful monitoring and controlling of a flotation circuit. However, due to the inherent characteristics of a flotation circuit such as time-delay, strong nonlinearities and uncertainties, these production indices are usually difficult(More)
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