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Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization

Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization

Pushpalatha Pondreti, Babulu Kaparapu
Copyright: © 2023 |Volume: 14 |Issue: 1 |Pages: 26
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781668479513|DOI: 10.4018/IJSIR.321237
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MLA

Pondreti, Pushpalatha, and Babulu Kaparapu. "Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization." IJSIR vol.14, no.1 2023: pp.1-26. http://doi.org/10.4018/IJSIR.321237

APA

Pondreti, P. & Kaparapu, B. (2023). Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization. International Journal of Swarm Intelligence Research (IJSIR), 14(1), 1-26. http://doi.org/10.4018/IJSIR.321237

Chicago

Pondreti, Pushpalatha, and Babulu Kaparapu. "Very Large-Scale Integration Floor Planning on FIR and Lattice Filters Design With Multi-Objective Hybrid Optimization," International Journal of Swarm Intelligence Research (IJSIR) 14, no.1: 1-26. http://doi.org/10.4018/IJSIR.321237

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Abstract

Floor planning is indeed an obvious design process in VLSI physical layout since it specifies the dimensions, structure, as well as positions of components upon the chip; in addition, information regarding the overarching silicon area, interlinks, and latency is also provided. VLSI floor planning is an NP-hard issue as the floor plan representations are a crucial component in this process. The intricacy, as well as solution space of the floor plan layout, is influenced by the floorplan visualizations. To tackle the VLSI floor plan challenge, numerous researchers have developed numerous meta-heuristic optimization techniques. The main objective of this work presents a novel multi-objective hybrid optimization method for solving the floor plan optimization issue. Standard DOX and ALO are conceptually combined in the proposed hybrid optimization referred to as Dingo Updated Ant Lion Optimization (DUALO) model. The multi-objectives like wire length, area, and penalty function are taken into consideration.