• YOGESH PAL
• Mr. Bineet Kumar Gupta

Emergence to network is responsible to bring number of opportunities but at the same time it’s becoming difficult task to provide user’s satisfaction in the form optimal solution for a large network. To provide optimal solution for a large connected network there have been various approached of intelligent algorithms like Diskastra’s algorithm for shortest path, kruskal’s algorithm(initiates with an edge) and Prim’s algorithm(initializes with a node). This paper presents an approach to enhance shortest path algorithm in the form applying agent’s theory of node in a linear cross over methodology between two nodes that is source and destination. The proposed approach is first observes the behaviour of network with the help of intelligence algorithms and use of optimal path to reduce the travel time of agents in the form of node. Use of various intelligence algorithms make easy to analyze the demand of user in move on In addition presented Swarm Intelligence Algorithm is conscientious to apply agents with a variety of parameters to optimize the time and cost.

Intelligence, Shortest Path, Optimization, Algorithms

"Function of Agents Recommending as Node for a Large Network Communication Using Intelligence Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.399-404, April-2019, Available :http://www.jetir.org/papers/JETIR1904960.pdf

"Function of Agents Recommending as Node for a Large Network Communication Using Intelligence Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp399-404, April-2019, Available at : http://www.jetir.org/papers/JETIR1904960.pdf