Performance analysis of VLSI floor planning based on artificial bee colony algorithm

  • Abstract
  • Keywords
  • References
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  • Abstract

    The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work. The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.




  • Keywords

    Floor Planning; Corner List; Block Placement; Optimization; Artificial Bee Colony.

  • References

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      [2] Yun-Chih Chang, Yao-Wen Chang, Guang-Ming Wu In addition, Shu-Wei Wu (2000) “B*-Trees: A New Represen--tation for Non-Slicing Floor plans” *IEEE Design Automation Conference: 458-463.

      [3] Xianlong Hong, Gang Huang, YiciCai, JiangchunGuSheqin Dong and Chung-Kuan Cheng (2004) “Cornerblock list- An efficient and effective topological representation of non-slicing floorplan” *IEEE Transactions on Circuits and Systems -II: Express Briefs, vol. 51, no. 5.

      [4] DervisKaraboga and BahriyeBasturk (2008) “On the Performance of artificial bee colony (ABC) algorithm” *European Journal of Applied Soft Computing 8687-697.

      [5] Sivaranjani. P and A. Senthil Kumar."Hybrid Particle Swarm Optimization Firefly algorithm (HPSOFF) non-slicing VLSI floorplanning."Journalof Intelligent & Fuzzy Systems32, no.1 (2017):661-669.

      [6] XianlongHong, SheqinDong, GangHuang, YiciCai, Chung-Kuan Cheng and Jun Gu (2004) “Corner Block List Representation and Its Application to Floor plant Optimization”*IEEE Transactions on Circuits AndSystems -II: Express Briefs, vol. 51, no. 5.

      [7] Sivaranjani.P andA.SenthilKumar.”Thermal-aware non-slicing vlsifloorplanning using a smart decision- making Pso-Ga based hybrid algorithm.” Circuits, Systems,and Signal Processing, 2015 – Springer.

      [8] Chyi-ShiangHoo, KanesanJeevan, VelappaGanapathy and HarikrishnanRamiah (2013) “Variable-Order Ant System for VLSI multi objective floor planning” European Journal of Applied Soft Computing 13, 3285–3297.

      [9] Yang, Xin-She.Nature-inspiredoptimization algorithms.Elsevier, 2014.

      [10] LalinL.Laudis, ShilpaShyam, Caroline Jemila, Suresh. “MultiObjectiveBatAlgorithmforCombinational optimization in VLSI.” ICSCC2017, 7-8, Procedia Computer Science 125 (2018); 840-846.

      [11] Qinghai Bai (2010) “Analysis of Particle Swarm Optimization Algorithm” *IEEE Transactions on Computer and Information Science vol. 3, no. 1.Guolongchen, WenzhongGuo and Yuzhongchen (2010) “A PSO-based intelligent decision algorithm for VLSI

      [12] floorplanning” *IEEE Transactions on Soft Computing, vol.14, no. 12.

      [13] DervisKaraboga and BahriyeBasturk (2007) “A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm” *Springer Science and Business Media B.V.

      [14] DervisKaraboga and Bahriye Akay (2009) “A comparative study of Artificial Bee Colony algorithm” European Journal of Applied Mathematics and Computation 214 108–132.




Article ID: 15490
DOI: 10.14419/ijet.v7i2.33.15490

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