A NOVEL APPROACH TO OPTIMIZATION ALGORITHM FOR VLSI

INTRODUCTION
Evolution of IC technology : SSI(<10), MSI(10-100), LSI(1000).
Very-large-scale integration (VLSI) is the process of creating integrated circuits by combining thousands of transistors into a single chip.
VLSI process steps consist of : generating an idea=> architectural design=> logical design=> physical design=> fabrication=> chip.
VLSI physical design is the process of determining the physical location of active devices and interconnecting them inside th ....etc

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To overcome these challenges using CloudSim tool. CloudSim
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bacterial foraging optimization algorithm matlab code

Taxonomy

The Bacterial Foraging Optimization Algorithm belongs to the field of Bacteria Optimization Algorithms and Swarm Optimization, and more broadly to the fields of Computational Intelligence and Metaheuristics. It is related to other Bacteria Optimization Algorithms such as the Bacteria Chemotaxis Algorithm , and other Swarm Intelligence algorithms such as Ant Colony Optimization and Particle Swarm Optimization. There have been many extensions of the approach that attempt ....etc

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Abstract
In this paper, new descriptor observer design approaches are presented for multivariable systems with measurement noises. If the system matrix is stable, the proposed modified proportional and derivative observer technique allows us not only to decouple the measurement noise in any forms completely, but also obtain accurate estimations of both system states and measurement noises. If the system is detectable and the noise is bounded, it has been shown that two design parameters can provide more degrees of freedom. In this context, th ....etc

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Introduction
In recent past reversible computing has emerged as a promising technology having applica tions in low power CMOS , nanotechnology , optical computing , DNA computing , quantum computing etc. To establish the relevance of reversible and quantum computing it seems appropriate to note that the VLSI industry is moving at high speed towards minia turization. With miniaturization it faces two issues: i) A considerable amount of energy gets dissipated in VLSI circuits and ii) the size of t ....etc

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matlab code for firefly algorithm for optimization

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly's flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:

All fireflies are unisexual, so that one firefly will be attracted to all other fireflies;
Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) t ....etc

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Particle Swarm Optimization Algorithm and Its Application in Engineering Design Optimization

The Particle Swarm Optimization (PSO) method was originally proposed by J.Kennedy as a simulation of social behavior, and it was insitially introduced as an optimization method in 1995 (Eberhart and Kennedy, 1995). The PSO is a robust stochastic evolutionary computation technique based on the movement and intelligence of swarms looking for the most fertile feeding location. PSO's foundation is based on the principle that each solution ....etc

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