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PPAM
2007
Springer
15 years 4 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
BIBE
2008
IEEE
15 years 5 months ago
Robust parameter identification for biological circuit calibration
Abstract-The aim of this work is to compare some deterministic optimization algorithms and evolutionary algorithms on parameter estimation in a biological circuit design problem: t...
Giuseppe Nicosia, Eva Sciacca
EMO
2001
Springer
209views Optimization» more  EMO 2001»
15 years 3 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...
CDC
2008
IEEE
134views Control Systems» more  CDC 2008»
15 years 5 months ago
Data-driven precompensator tuning for linear parameter varying systems
— Methods for direct data-driven tuning of the parameters of precompensators for LPV systems are developed. Since the commutativity property is not always satisfied for LPV syst...
Mark Edward John Butcher, Alireza Karimi, Roland L...
GECCO
2006
Springer
216views Optimization» more  GECCO 2006»
15 years 2 months ago
Comparative analysis of the sailor assignment problem
In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
Joseph Vannucci, Deon Garrett, Dipankar Dasgupta