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This paper describes a method to optimize the plane sweep algorithm. The goal of this paper is to develop a method that reduces the comparison through removing the tandem replicated word comparison and also using partial search technique in a document for escaping from the keywords that are ineffective. The approach introduces Plane Sweep algorithm that is the base algorithm used to search for keywords. Reducing the search area, change the number of keyword's comparisons in a document and speed up our search algorithm. So searching operation is done in a smaller space and we don't need to search all the keywords in a document. In this algorithm, we make a new technique to create the algorithm that detect the number of tandem replicated words in a document and also searching on a target part, thus reducing the number of keywords in a document speed up our search algorithm. In proposed algorithm time complexity with lower order has been created than the basic algorithm. Searching for results occurs in a reduced space and it has led to a better performance without comparing all the keywords in the list. The algorithm is robust, and highly effective especially in a high volume of data.

IPNWPSR: Iterated Partial Neighbor Word Plane Sweep Replicated, Evolution of Searching in Partial Tandem Replicated Sequence on Plane Sweep Algorithm