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INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 6 days ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 7 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
112
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GECCO
2009
Springer
126views Optimization» more  GECCO 2009»
15 years 6 months ago
Improving NSGA-II with an adaptive mutation operator
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
Arthur Gonçalves Carvalho, Aluizio F. R. Ar...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 8 months ago
The effect of user interaction mechanisms in multi-objective IGA
In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The inte...
Alexandra Melike Brintrup, Hideyuki Takagi
EMO
2006
Springer
107views Optimization» more  EMO 2006»
15 years 5 months ago
Designing Multi-objective Variation Operators Using a Predator-Prey Approach
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...
Christian Grimme, Joachim Lepping