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- W1608939836 abstract "We present a new approach for applying genetic programming to lossless data compression. Unlike programmatic compression the evolved programs are preprocessors. These preprocessors aim at enhancing the compression rate of the given data by transforming it. The entropy based fitness function is both fast and independent of the type of information being processed. The obtained results are encouraging in sense that significant improvements can be achieved. Furthermore the required computation time is much smaller than in the case of programmatic compression, making the presented approach more viable. We used a strongly typed GP kernel. The kernel offers the extra advantage of being able to exploit parallel execution through the island model." @default.
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- W1608939836 date "2002-07-09" @default.
- W1608939836 modified "2023-09-26" @default.
- W1608939836 title "Evolving compression preprocessors with genetic programming" @default.
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