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- W3091807265 abstract "Today digital revolution is playing a vital role in many intelligent enterprises and hence there is a need to manage the applications efficiently with optimal cost and a reduced end to end processing time. In this paper, a novel algorithm “grey wolf optimization for the shortest path (GWOSP)” is devised using the concept of grey wolf optimization. Here the algorithm dynamically determines the short path of a given graph to reduce the overall cost and time. Later a performance evaluation is carried out between GWOSP and Dijkstra's algorithm based on execution times. It is realized that the performance of GWOSP algorithm is better when compared to Dijkstra's algorithm. The proposed methodology can be vastly adapted in cost and risk optimization and it aids towards addressing few challenges of intelligent enterprises." @default.
- W3091807265 created "2020-10-15" @default.
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- W3091807265 date "2020-08-01" @default.
- W3091807265 modified "2023-09-23" @default.
- W3091807265 title "Cost Optimization For Intelligent Enterprises Using Modified GWO" @default.
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- W3091807265 doi "https://doi.org/10.1109/icssit48917.2020.9214166" @default.
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