String matching is of great importance in pattern recognition. We put forth a new string matching algorithm which matches the pattern from neither the left nor the right end, instead a special position. Comparing with the Knuth-Morris-Pratt algorithm and the Boyer-Moore algorithm, the new algorithm is more flexible to pick the position for starting comparisons. The option really brings it a saving in cost. The method requires a statistical probability table for alphabets which can be set up using evolution strategies for dynamic conditions. If the chosen lowlight character in a given pattern has the probability λ, the length of the text is n and the length of the pattern is m. then we conjecture that the complexity of the new algorithm is Θ(n/λm).
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