H. Vrazopoulos

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This paper introduces a deterministic method for capturing the Pareto front in multi-objective real parameter optimization problems. It is an effort to deal with multi-objective optimization problems that were until now confronted only by stochastic algorithms, specifically evolutionary algorithms. The method is based on a theoretical result that proves the(More)
The objective of this paper is the interrelation of the diverse characteristics of two categories of optimization algorithms, stochastic and deterministic, as well as the exploitation of the advantages that each method presents simultaneously. It is well known that evolutionary methods are very efficient in avoiding local optima due to their stochastic(More)
In this paper the techniques of evolutionary system identification are implemented in the parametric, time domain identification of a flexible robotic arm. More specifically, the (μ+λ) Evolution Strategy (ES) is used for the estimation of both ARMA and ARMAX models, by means of Prediction-Error method (PEM), capable to describe system’s dynamics in the(More)
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