Fuzzy Arc Weights - Shortest Path Problem Solution by Cheetah Chase Algorithm

In modern design with state of the art technology, the domain of shortest path problem is one of the mainstream topics in theoretical approach of graph. A variety of applications of the SPP are like google maps, road network, logistics frameworks and design path planning of VLSI and so on. The suggested method uses the Cheetah Chase Algorithm whose foundation is the concept of swarm intelligence used to dynamically allocate nodes between the start and destination nodes in an effort to find a more effective resolution for the SPP that lies in between the start and end positions. A fuzzy-based Cheetah Chase Algorithm with various fuzzy arc weights is presented in this paper for solving shortest path problems. According to the findings, the fuzzy arc weights-based enhanced CCA algorithm achieves higher convergence rates than the other metaheuristic algorithm.