Global design of analog cells using statistical optimization techniques
Analog Integrated Circuits and Signal Processing - Special issue on analog signal processing
DARWIN: CMOS opamp synthesis by means of a genetic algorithm
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms
Journal of Global Optimization
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Reuse Based Methodologies and Tools in the Design of Analog and Mixed-Signal Integrated Circuits
Reuse Based Methodologies and Tools in the Design of Analog and Mixed-Signal Integrated Circuits
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Analog circuit optimization system based on hybrid evolutionary algorithms
Integration, the VLSI Journal
Automated synthesis of analog electrical circuits by means ofgenetic programming
IEEE Transactions on Evolutionary Computation
Parameter optimization of an on-chip voltage reference circuitusing evolutionary programming
IEEE Transactions on Evolutionary Computation
An evolutionary approach to automatic synthesis of high-performance analog integrated circuits
IEEE Transactions on Evolutionary Computation
Meta-Lamarckian learning in memetic algorithms
IEEE Transactions on Evolutionary Computation
Synthesis of high-performance analog circuits in ASTRX/OBLX
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Anaconda: simulation-based synthesis of analog circuits via stochastic pattern search
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Optimal design of a CMOS op-amp via geometric programming
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
AMGIE-A synthesis environment for CMOS analog integrated circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Proceedings of the Conference on Design, Automation and Test in Europe
Expert Systems with Applications: An International Journal
Context-dependent transformation of Pareto-optimal performance fronts of operational amplifiers
Analog Integrated Circuits and Signal Processing
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This article introduces an evolution-based methodology, named memetic single-objective evolutionary algorithm (MSOEA), for automated sizing of high-performance analog integrated circuits. Memetic algorithms may achieve higher global and local search ability by properly combining operators from different standard evolutionary algorithms. By integrating operators from the differential evolution algorithm, from the real-coded genetic algorithm, operators inspired by the simulated annealing algorithm, and a set of constraint handling techniques, MSOEA specializes in handling analog circuit design problems with numerous and tight design constraints. The method has been tested through the sizing of several analog circuits. The results show that design specifications are met and objective functions are highly optimized. Comparisons with available methods like genetic algorithm and differential evolution in conjunction with static penalty functions, as well as with intelligent selection-based differential evolution, are also carried out, showing that the proposed algorithm has important advantages in terms of constraint handling ability and optimization quality.