WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000
DOI: 10.1109/icosp.2000.891721
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An efficient coding scheme based on sub-frame vector quantization

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(4 citation statements)
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“…Neighborhood Search (NS) is a useful strategy to enhance the exploitation ability of algorithms. Yuanfei Wei et al [78] added a variable NS strategy in the proposed EOSMA to increase the exploitation. Zhou X et al [79] introduced an all-dimensional neighborhood search strategy for SMA(LASMA) to explore the search space more effectively.…”
Section: Neighborhood Search (Ns)mentioning
confidence: 99%
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“…Neighborhood Search (NS) is a useful strategy to enhance the exploitation ability of algorithms. Yuanfei Wei et al [78] added a variable NS strategy in the proposed EOSMA to increase the exploitation. Zhou X et al [79] introduced an all-dimensional neighborhood search strategy for SMA(LASMA) to explore the search space more effectively.…”
Section: Neighborhood Search (Ns)mentioning
confidence: 99%
“…The operator fusion is to replace or modify the SMA operators with other algorithms or combine different operators from both algorithms to solve the drawbacks of original SMA. The operator fusion approach is mostly indicated in hybrid version of SMA with EO, EO and GA. As for hybridization of SMA and EQ in [56,73,78,80],the operators of best position found in SMA is replaced by the first solution in the equilibrium pool of EO. And the mutation operator and crossover operator of EO and GA are usually adopted to update the position during search solution for jumping out the local optimum.…”
Section: Hybridized Version Of Smamentioning
confidence: 99%
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