This book presents novel circuit-level evolutionary partitioning algorithms to optimize VLSI physical design automation. It addresses limitations in traditional partitioning methods by introducing enhanced techniques such as Modified Genetic Algorithm (MGA), Modified Particle Swarm Optimization (MPSO), and a new Graph Cellular Automata (GCA) approach. These algorithms aim to minimize cut size, reduce interconnection delays, and improve overall circuit performance. Experimental validation using ISCAS'85 benchmark circuits confirms the efficiency and superiority of the proposed methods in terms of partition quality and computational time.
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Paperback. Condition: new. Paperback. This book presents novel circuit-level evolutionary partitioning algorithms to optimize VLSI physical design automation. It addresses limitations in traditional partitioning methods by introducing enhanced techniques such as Modified Genetic Algorithm (MGA), Modified Particle Swarm Optimization (MPSO), and a new Graph Cellular Automata (GCA) approach. These algorithms aim to minimize cut size, reduce interconnection delays, and improve overall circuit performance. Experimental validation using ISCAS'85 benchmark circuits confirms the efficiency and superiority of the proposed methods in terms of partition quality and computational time. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208444228
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Taschenbuch. Condition: Neu. CIRCUIT-LEVEL EVOLUTIONARY PARTITIONING ALGORITHMS | Pavithra Guru R (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208444228 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 134022191
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents novel circuit-level evolutionary partitioning algorithms to optimize VLSI physical design automation. It addresses limitations in traditional partitioning methods by introducing enhanced techniques such as Modified Genetic Algorithm (MGA), Modified Particle Swarm Optimization (MPSO), and a new Graph Cellular Automata (GCA) approach. These algorithms aim to minimize cut size, reduce interconnection delays, and improve overall circuit performance. Experimental validation using ISCAS'85 benchmark circuits confirms the efficiency and superiority of the proposed methods in terms of partition quality and computational time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch. Seller Inventory # 9786208444228
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