Vikas Shinde

@mitsgwalior.in

Professor, Deptt. of Engineering Mathematics & Computing, MITS, Gwalior
Madhav Institute of Technology and Science, Gwalior (India)

Vikas Shinde


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https://researchid.co/vpshinde

RESEARCH INTERESTS

Queueing Theory
10

Scopus Publications

Scopus Publications

  • Chaotic Zebra Optimization Algorithm Using Tent Map for Global Optimum Solution
    Shweta Shrivastava, Vikas Shinde, M. R. Dhakad
    Lecture Notes in Networks and Systems, 2025
  • A sequential hybrid optimisation of Harris-Hawk optimisation with Osprey Optimisation Algorithm for searching global optima
    Vikas Shinde, Rahul Jha, Dilip Kumar Mishra
    International Journal of Computing Science and Mathematics, 2025
  • Improved Chaotic Sine Cosine Algorithm (ICSCA) for global optima
    Vikas Shinde, Rahul Jha, Dilip Kumar Mishra
    International Journal of Information Technology Singapore, 2024
  • Improved Sine Cosine Algorithm for searching global optima
    Vikas Shinde, Rahul Jha, D K Mishra
    2023 International Conference on Computational Intelligence Communication Technology and Networking Cictn 2023, 2023
    SCA is the most successful population-based meta-heuristic algorithm commonly used to achieve global optimal value. The purpose of this paper is to study an improved version of the sine-cosine algorithm (ISCA) is tested on 13 standard functions and three technical problems like Welded Beam Design(WBD), compression spring design(CSD), pressure vessel design(PVD) and carried out results are compared with recent research articles of meta-heuristicalgorithms.A Wilcoxon rank sum test is performed to statistically validate the results.. The illustrated results prove that the better rendition of improved Sine Cosine Algorithm (ISCA) which indeed more capable to explore the search space, avoidance of local optima provide effective convergence for global optima and exploit search space for efficient optimization.
  • Computational Performance of Server Using the Mx/M/1 Queue Model
    Jitendra Kumar, Vikas Shinde
    Springer Proceedings in Mathematics and Statistics, 2020
    In this paper, we present the algorithms for evaluating the most effective and efficient transient solution to MX/M/1 queueing model. The analytical results are expressed in modified Bessel functions and also use generalized Q-function. Numerical illustration has been obtained and compared with other algorithms by their own programs and results.
  • AVAILABILITY ANALYSIS FOR ESTIMATION OF REPAIR RATE OF PERFORMANCE BASED LOGISTICS UNDER OPERATING CONDITION
    Journal of Reliability and Statistical Studies, 2019
  • Call admission control scheme for cellular wireless network using queueing model
    Jitendra Kumar, Vikas Shinde, Punit Johari
    Communications in Computer and Information Science, 2019
  • Performance Evaluation of Queueing Network
    11th Indiacom 4th International Conference on Computing for Sustainable Global Development Indiacom 2017, 2017
  • Performance analysis of queueing model using supply chain management
    Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
  • Performance modelling of machining system with mixed standby components, balking and reneging
    International Journal of Engineering Transactions A Basics, 2004