Particle Swarm Optimization for Vlsi Floor planning with Clustering Control

  • Authors

    • Dr. V.Mariselvam
    • S. Rajanandhini
    https://doi.org/10.14419/ijet.v7i3.20.27352
  • B tree representation, floorplanning, MCNC benchmarks, Particle Swarm Optimization (PSO).

  • Abstract

    Floorplanning is a critical issue in simple VLSI design. It is a NP-hard combinatorial optimization problem. Now this investigation the VLSI floor planning issue through grouping limitations then the design region as per minimization paradigm remains measured. A procedure, which depends on essential standards of Particle Swarm Optimization (PSO), to take care of this issue is exhibited. This PSO-based calculation utilizes two distinct sorts of pheromone paths by way of the correspondence media between fake particles towards adequately manage them to agreeably develop a great floorplan. Based on the attributes of PSO, in addition, an encoding plan, which is alluded to as B tree representation, is planned on the way to speak to the ordered connections among route elements designed for a floorplan. Analyses utilizing MCNC benchmarks demonstrate that the execution of our technique intended for arrangement through the capacity of investigating better arrangements. The planned method displayed quickly merging then prompted extra ideal arrangements than other related approach.

     

     

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  • How to Cite

    V.Mariselvam, D., & Rajanandhini, S. (2018). Particle Swarm Optimization for Vlsi Floor planning with Clustering Control. International Journal of Engineering & Technology, 7(3.20), 841-845. https://doi.org/10.14419/ijet.v7i3.20.27352

    Received date: 2019-02-12

    Accepted date: 2019-02-12