Optimization techniques for high-performance digital circuits
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Ant algorithms for discrete optimization
Artificial Life
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Bi-Criterion Optimization with Multi Colony Ant Algorithms
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
An effective use of crowding distance in multiobjective particle swarm optimization
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Yield-area optimizations of digital circuits using non-dominated sorting genetic algorithm (YOGA)
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
EURASIP Journal on Applied Signal Processing
Multi-objective genetic algorithms: Problem difficulties and construction of test problems
Evolutionary Computation
Proceedings of the conference on Design, automation and test in Europe
Analog Design Centering and Sizing
Analog Design Centering and Sizing
Metaheuristics: From Design to Implementation
Metaheuristics: From Design to Implementation
Analog circuit design optimization through the particle swarm optimization technique
Analog Integrated Circuits and Signal Processing
A non-dominated sorting particle swarm optimizer for multiobjective optimization
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques
Intelligent Computational Optimization in Engineering: Techniques & Applications
Intelligent Computational Optimization in Engineering: Techniques & Applications
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
IEEE Transactions on Evolutionary Computation
Dominance-Based Multiobjective Simulated Annealing
IEEE Transactions on Evolutionary Computation
Noise considerations in circuit optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hierarchical Analog/Mixed-Signal Circuit Optimization Under Process Variations and Tuning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
International Journal of Applied Metaheuristic Computing
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Swarm intelligence (SI) techniques are more and more used by analog designers in order to optimally size their circuits/systems' performances. A particular interest is accorded to the multi-objective algorithms due to the fact that in most cases analog, mixed signal and radio-frequency sizing problems encompass at least two non-commensurable conflicting objectives. In most of the published papers, Pareto fronts are provided, and in the best cases they are compared to the tradeoff fronts obtained using other classical metaheuristics, but in a very subjective way. In this paper we present a comparison that deals with the multi-objective optimal design of analog circuits via the SI technique and other famous metaheuristics. Performance metrics are used to compare the obtained results. The paper argues and shows that SI techniques and particularly the particle swarm optimization technique is a priori the most adequate metaheuristic to use in the field of analog circuit sizing.