2009 IEEE Swarm Intelligence Symposium 2009
DOI: 10.1109/sis.2009.4937856
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Ant Colony Optimization for power efficient routing in manhattan and non-manhattan VLSI architectures

Abstract: Abstract-Rapid advances in VLSI technology have increased the number of transistors that fit on a single chip to about two billion. In such complex designs, a primary design goal is to limit the power consumption of the chip. Power consumption depends on capacitance, which depends on the length of wires on the chip and the number of vias which connect wires on different layers of the chip. We use Ant Colony Optimization (ACO) algorithms to minimize wirelength, vias and capacitance. ACO provide a multi-agent fr… Show more

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Cited by 16 publications
(7 citation statements)
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References 32 publications
(40 reference statements)
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“…ACO-Steiner can be easily extended to other routing problems such as power-driven routing. References [49] and [50] implement ACO algorithms on both grid-less Manhattan architectures and non-Manhattan routing architectures that use diagonal routing, which aim at limiting the power consumption of the chip. The difference is that, [50] actives power on the chip not only by minimizing wirelength and vias, but also capacitance.…”
Section: ) Applying Aco To Global Routingmentioning
confidence: 99%
“…ACO-Steiner can be easily extended to other routing problems such as power-driven routing. References [49] and [50] implement ACO algorithms on both grid-less Manhattan architectures and non-Manhattan routing architectures that use diagonal routing, which aim at limiting the power consumption of the chip. The difference is that, [50] actives power on the chip not only by minimizing wirelength and vias, but also capacitance.…”
Section: ) Applying Aco To Global Routingmentioning
confidence: 99%
“…As Swarm Intelligence algorithms have been shown to have good application prospects in solving NP-hard problems, Arora et al proposed an algorithm based on ACO in [148]. The combination of ant colony learning strategies provides a multi-agent framework for combinatorial optimization.…”
Section: ) Power-driven Routingmentioning
confidence: 99%
“…Many other technique based on SI has been used for escalation of VLSI routing, among them the one proposed by Arora and Moses is important. Both Manhattan as well as a non-Manhattan routing scheme based on Ant Colony Optimization (ACO) [11] were proposed by the duo. A proposal was introduced by Ayob et al to evade VLSI routing scheme by using Firefly optimization [12].…”
Section: Introductionmentioning
confidence: 99%