RF microelectronics
Proceedings of the 38th annual Design Automation Conference
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
A Locally-Biased form of the DIRECT Algorithm
Journal of Global Optimization
System-on-chip beyond the nanometer wall
Proceedings of the 40th annual Design Automation Conference
Device optimization for ultra-low power digital sub-threshold operation
Proceedings of the 2004 international symposium on Low power electronics and design
Silicon Bipolar LNAs in the X and Ku Bands
Analog Integrated Circuits and Signal Processing
A variation tolerant subthreshold design approach
Proceedings of the 42nd annual Design Automation Conference
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Proceedings of the 2006 ACM symposium on Applied computing
Generation of yield-aware Pareto surfaces for hierarchical circuit design space exploration
Proceedings of the 43rd annual Design Automation Conference
A hybrid immune algorithm with information gain for the graph coloring problem
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
Clonal selection algorithms: a comparative case study using effective mutation potentials
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
DELIGHT.SPICE: an optimization-based system for the design of integrated circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Low-Power-Design Space Exploration Considering Process Variation Using Robust Optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Advanced Engineering Informatics
Modeling derived from Bayesian filtering: analysis of estimation process
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
A Genetic Algorithm-Based Multiobjective Optimization for Analog Circuit Design
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Genetic Programming and Evolvable Machines
Short communication: New results in modelling derived from Bayesian filtering
Knowledge-Based Systems
Multi-objective optimization of doping profile in semiconductor design
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Design illustration of a symmetric OTA using multiobjective genetic algorithms
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Multi-objective optimisation, sensitivity and robustness analysis in FBA modelling
CMSB'12 Proceedings of the 10th international conference on Computational Methods in Systems Biology
Swarm intelligence: making differences in analogue circuits structure for fault-tolerance
International Journal of Computer Applications in Technology
International Journal of Computer Applications in Technology
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The increasing complexity of circuit design needs to be managed with appropriate optimization algorithms and accurate statistical description of design models in order to reach the design specifics, guaranteeing ''zero defects''. In the Design for Yield open problems are the design of effective optimization algorithms and statistical analysis for yield design, which require time consuming techniques. New methods have to balance accuracy, robustness and computational effort. Typical analog integrated circuit optimization problems are computationally hard and require the handling of multiple, conflicting, and non-commensurate objectives having strong nonlinear interdependence. This paper tackles the problem by evolutionary algorithms to produce tradeoff solutions on the Pareto Front. In this research work Integrated Circuit (IC) design has been formulated as a constrained multi-objective optimization problem defined in a mixed integer/discrete/continuous domain. The following real-life circuits, RF Low Noise Amplifier, LeapFrog Filter, and Ultra Wideband LNA, were selected as test bed. The proposed algorithm, A-NSGAII, was shown to produce acceptable and robust solutions in the tested applications, where state-of-art algorithms and circuit designers failed. The results show significant improvement in all the chosen IC design problems.