Study on Query Optimization based Techniques using Stochastic Approaches

Daljinder Dugg, Mandeep Singh, Gurpreet Singh
<span title="2017-04-17">2017</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Query optimization is a stimulating task of any database system. A number of heuristics have been applied in recent times, which proposed new algorithms for substantially improving the performance of a query. The hunt for a better solution still continues. The imperishable developments in the field of Decision Support System (DSS) databases are presenting data at an exceptional rate. The overall objective of this paper is to represent the various query optimization techniques using stochastic
more &raquo; ... proaches which further optimize the design of query optimization genetic approaches.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2017913482">doi:10.5120/ijca2017913482</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lhwgfelmibebjdtfzpdfcqb3tu">fatcat:lhwgfelmibebjdtfzpdfcqb3tu</a> </span>
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