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This article brings out the usefulness of improving classical algorithms, analyzing, and optimizing the efficiency of parallel execution time at any price, depending on the situation of use. It can be said that nowadays the searching algorithms are involved in multiple actions in different domains starting from the data bases, the online searching engine, GPS systems or in the emergency situations...
This article aims to highlight the usefulness of improving classical algorithms by generating new approaches, efficiency or parallel execution time optimization at all costs. The reconsideration of classical algorithms, but in different testing conditions can help all products that rely on them. Based on the different uses of Dijkstra's algorithm and the new approaches based on the use, it can be...
There are many pre-processing-based speedup techniques for shortest path problems that are available in the literature. These techniques have an increased demand because of large datasets in such applications such as roadmaps, web search engines and mobile data sets. Pre-processing for the Time-Dependent Shortest Path Problem is still a demanding process that involves graph or network partitioning...
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