Automated Analog Circuit Design Synthesis Using A Hybrid Genetic Algorithm with Hyper- Mutation and Elitist Strategies
نویسندگان
چکیده
Analog circuits are of great importance in electronic system design. Analog circuit design consists of circuit topology design and component values design. These two aspects are both essential to computer aided analog circuit evolving. However, Traditional GA is not very efficient in evolving circuit component’s values. This paper proposed a hybrid algorithm HME-GA (GA with hypermutation and elitist strategies). The advantage of HME-GA is that, it not only concentrates on evolving circuit topology, but also pays attention to evolving circuit component’s values. Experimental results show that, the proposed algorithm performs much better than traditional GA. HMEGA is an efficient tool for analog circuit design. Evolutionary technology has been demonstrated to be very useful in computer aided analog circuit design. More potential of evolutionary methods on analog circuit design is waiting for exploring.
منابع مشابه
Automated Analog Circuit Synthesis using a Linear Representation
We present a method of evolving analog electronic circuits using a linear representation and a simple unfolding technique. While this representation excludes a large number of circuit topologies, it is capable of constructing many of the useful topologies seen in hand-designed circuits. Our system allows circuit size, circuit topology, and device values to be evolved. Using a parallel genetic a...
متن کاملSTRUCTURAL OPTIMIZATION USING A MUTATION-BASED GENETIC ALGORITHM
The present study is an attempt to propose a mutation-based real-coded genetic algorithm (MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The Gaussian mutation operator is used to create the reproduction operators. An adaptive tournament selection mechanism in combination with adaptive Gaussian mutation operators are proposed to achieve an effective search in ...
متن کاملControl Simulation and Experimental Verification of Maximum Power Point Tracking Based on RT-LAB (TECHNICAL NOTE)
The maximum power point tracking (MPPT) control in the Photovoltaic system is the key control technology, however present controller has the disadvantages of long development cycle, high cost and complex verification, and there are some disadvantages carrying out totally physical simulation or totally digital simulation of different control algorithms. This paper carried out design of hardware ...
متن کاملAnalog circuit optimization system based on hybrid evolutionary algorithms
This paper investigates a hybrid evolutionary-based design system for automated sizing of analog integrated circuits (ICs). A new algorithm, called competitive co-evolutionary differential evolution (CODE), is proposed to design analog ICs with practical user-defined specifications. On the basis of the combination of HSPICE and MATLAB, the system links circuit performances, evaluated through el...
متن کاملAirfoil Shape Optimization with Adaptive Mutation Genetic Algorithm
An efficient method for scattering Genetic Algorithm (GA) individuals in the design space is proposed to accelerate airfoil shape optimization. The method used here is based on the variation of the mutation rate for each gene of the chromosomes by taking feedback from the current population. An adaptive method for airfoil shape parameterization is also applied and its impact on the optimum desi...
متن کامل