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A Novel Architectural Framework for 2-D Global Routing Using Hybrid Biogeography-Based Optimization and Maze Routing Algorithm

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Proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics (AISI 2025) (AISI 2025)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 238))

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Abstract

Global Routing (GR) is a critical step in the VLSI design process. With the ever increasing number of components on a single chip, there is great need of better routing algorithms to produce efficient, congestion free routing. We propose a hybrid Biogeography-based Optimization (BBO)/Maze Routing (MR) algorithm which focuses on producing zero overflow routing solutions. MR is used to generate initial routing of all nets and then a novel BBO based routing algorithm is used to iteratively perform the Rip-up and Reroute (R&R) of congested nets. Lower and upper bounds on the 3D wirelength were computed using the 2-D routing solution generated by the proposed algorithm. The performance of the proposed router was evaluated on ISPD 2007 benchmarks and the results were found to be comparable with some of the state-of-the-art academic global routers and considerably less total overflow was achieved.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, 302017, Rajasthan, India

    Lavika Goel

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  1. Lavika Goel
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Correspondence to Lavika Goel .

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Editors and Affiliations

  1. Faculty of Computers Artificial Intelligence, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Port Said University, Port Said, Egypt

    Rawya Y. Rizk

  3. Helwan University, Cairo, Egypt

    Ashraf Darwish

  4. Department of Marketing, The University of Jordan, Sharjah, United Arab Emirates

    Muhammad Turki Raji Alshurideh

  5. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snášel

  6. Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Mohammed F. Tolba

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Goel, L. (2025). A Novel Architectural Framework for 2-D Global Routing Using Hybrid Biogeography-Based Optimization and Maze Routing Algorithm. In: Hassanien, A.E., Rizk, R.Y., Darwish, A., Alshurideh, M.T.R., Snášel, V., Tolba, M.F. (eds) Proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics (AISI 2025). AISI 2025. Lecture Notes on Data Engineering and Communications Technologies, vol 238. Springer, Cham. https://doi.org/10.1007/978-3-031-81308-5_43

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