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• W2146203413 abstract "The delay reduction of logic architecture leads to the reduction in costs associated with the development time, fabrication (chip area), and power requirements, as well as increased performance. The logical effort technique provides an easy way to compare and select circuit topologies, choose the best number of stages for path and estimate path delay. The Particle Swarm Optimization method is proposed to solve the Logical Effort (LE) problem for electronic circuits. Various optimization parameters, such as swarm size and iterations were tested under different initialization conditions to verify its performance. Results have indicated that the PSO algorithm was an effective method to apply to the LE problem, with high convergence rates." @default.
• W2146203413 created "2016-06-24" @default.
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• W2146203413 date "2010-05-01" @default.
• W2146203413 modified "2023-09-25" @default.
• W2146203413 title "Logical effort using Particle Swarm Optimization algorithm &#x2014; An examination on the 8-stage full adder circuit" @default.
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• W2146203413 doi "https://doi.org/10.1109/cspa.2010.5545228" @default.
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