Jinshan Jiang

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A new feature extraction approach based on kernel independent component analysis (Kernel ICA) is proposed in this paper. The Kernel ICA is applied to learn basis vector for feature extraction, and then the basis vector is used as a template model to extract the edge feature from the testing images which are completely different from the training image. The(More)
In this paper, we present a novel hybrid simulated annealing algorithm (HSAA) to efficiently solve three-dimensional multi-bin packing problems. Combined with the concept of the batch and the block, a kind of seven-tuple structure is proposed to optimize the feasible packing space in this algorithm. Moreover, the memory function is increased in the(More)
A new heuristic algorithm based on simple blocks is proposed in this paper to pack to solve three-dimensional packing problems(3DPP), and a self-adaptive genetic algorithm is used to optimize the packing sequence and direction of the constraint sequence in order to find an approximate optimal solution of the problem. In the heuristic algorithm, the simple(More)
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