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CIRCUIT-LEVEL EVOLUTIONARY PARTITIONING ALGORITHMS

CIRCUIT-LEVEL EVOLUTIONARY PARTITIONING ALGORITHMS

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
188
Release Date:
2025-08-20
Publication Date:
2025-08-20
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208444225
ISBN13:
9786208444228
GPSR Manufacturer Reference:
Weight:
298 g
Height:
150 cm
Width:
220 cm
Thickness:
12 cm
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