In real, network analysis have numerous uncertainties in the communication path. Uncertainties affect the possibility of mutation in the path due to the fuzziness of the interplay, error rate and environmental factors. The said paper works out the fuzziness in the mutation of path for the uncertain factors. It quantifies the performance of the mutation as well as the genetic algorithm. It provides fuzzy model to deals with the factors affecting the uncertainty of the shorter paths. Fuzzy implications are considered for different factors. The new edges formed during mutation are also dealt with fuzzy concept. This is a robust metaheuristic algorithm that defines the shorter path problem from a different plane using genetic and fuzzy tool. The transfer of packet is delayed due to natural and human issues like, disruption, natural calamity, and human error during installation etc. The work provides alternative paths to reach to the destination with the uncertain factors.

Genetic Algorithm, Mutation, Fuzzy Logic, Fuzzy Implications and Shorter path

[1] Tarak N Paul and Abhoy C Mondal, “Amalgamation of Graphs do not Affect the Search of the Set of Shorter Paths Algorithm”, International Journal of Advanced Computer & Research, Volume-4, Number-1, Issue-14, pp. 184 – 192, 2014, ISSN 22497277
[2] Tarak N Paul and Abhoy C Mondal, “Search the Set of Shorter Paths Using Graph Reduction Technique”, International Journal of Advanced Computer & Research, Volume-3, Number-4, Issue-13, pp. 278 – 287, December 2013, ISSN 22497277.
[3] Renu Kumari and Tarak N Paul, “Optimization of Wired Genetic Antenna Using Genetic Algorithm”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727, Volume 19, Issue 1, Ver. I (Jan.-Feb, 2017).
[4] Tarak N Paul and Abhoy C Mondal, “Mutation in Path for the Packets in the Network During Journey form Source to Destination”, International Conference on Advance Computational and Communication Paradigms-08-10 Sept. 2017, Springer, SMIT, Sikkim.
[5] Tarak N Paul and Abhoy C Mondal, “Set of Shorter Paths and Network Delay Deduction Using Genetic Algorithm”, Page 346-351, IEEE ISACC-2015, Assam University, ISBN: 978-1-4673-6707-3.
[6] Tarak N Paul and Abhoy C Mondal, “CONSTITUTE A SUB-GRAPH WITH n-levels TO SEARCH A SET OF SHORTER PATHS USING GENETIC ALGORITHM”, IEEE International Conference on Intelligent Computing and Intelligent System, Guangdong University, China, 3-0096-10943, Volume 3, pp 452-456, November 2011, ISBN 97816128441427, IEEE Catalog CFP1157HPRT.
[7] Tarak N Paul and Abhoy C Mondal, “Intelligent Traversing Method Using Genetic Algorithm For Long Distance”, International Conference on Computing and System, pp 69-74, November 2010, ISBN 9380813015.
[8] Tarak N Paul and Abhoy C Mondal, “Combination of Graph Does Not Affect the Execution of Finding Group of Shorter Path Algorithm”, Second International Conference on Computing and Systems, pp 348 - 356, September, 2013, ISBN-13:9789351342735.
[9] Tarak N Paul and Abhoy C Mondal, “Studies on Shortest Path Using Genetic Algorithm” Lambert Academic Publishing, Germany, ISSN No: 9783659913266.
[10] Tarak N PaulandAbhoy C Mondal, “Mutation in Path for the Packets in the Network During Journey form Source to Destination”, Advanced Computational and Communication Paradigms, Chapter – 27, page – 279-288, AISC Vol-706, ISBN 978-981-10-8237-5. © Springer Nature Singapore Pte Ltd. 2018.
[11] “Network Routing Protocol using Genetic Algorithms”, International Journal of Electrical & Computer Sciences, GihanNagib and Wahied G. Ali, IJECS-IJENS Vol:10 No:02.