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- W2765656385 abstract "Modern optimization algorithms have improved the VLSI physical design process with higher efficiency and better test results compared to hardware optimization. Time delay in VLSI routing is affected by multiple parameters such as buffer size, area usage, wire length, power dissipation and clock frequency. Reducing the wire length is the most common circuit optimization performed to combat problems arising from the exponential increase in transistor density of integrated circuits as predicted by Moore's Law. Simultaneous buffer insertion with wirelength minimization reduces routing delay further than only minimizing the total length of the routing path. Metaheuristic algorithms like Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) have already been applied to this optimization process to obtain the optimal circuit implementation with acceptable approximations. This paper demonstrates how Invasive Weed Optimization (IWO) algorithm can be used to find the shortest routing path with simultaneous buffer insertion. IWO is a nature-inspired metaheuristic algorithm that employs swarm intelligence and is found to yield better results in this application compared to the aforesaid previously used nature-inspired metaheuristics." @default.
- W2765656385 created "2017-11-10" @default.
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- W2765656385 date "2017-03-01" @default.
- W2765656385 modified "2023-09-22" @default.
- W2765656385 title "Invasive weed optimization approach to VLSI routing" @default.
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- W2765656385 doi "https://doi.org/10.1109/devic.2017.8074024" @default.
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