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» On the Brittleness of Evolutionary Algorithms
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CEC
2007
IEEE
16 years 26 days ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
SEMCO
2007
IEEE
16 years 24 days ago
Evolutionary Conceptual Clustering of Semantically Annotated Resources
A clustering method is presented which can be applied to knowledge bases storing semantically annotated resources. The method can be used to discover groupings of structured objec...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 20 days ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
ISICA
2007
Springer
16 years 20 days ago
Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization
Abstract. Interplanetary trajectory optimization studies mostly considered a single objective of minimizing travel time between two planets or launch velocity of spacecraft at the ...
Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema
CCECE
2006
IEEE
16 years 17 days ago
Dynamic and Parallel Approaches to Optimal Evolutionary Tree Construction
Phylogenetic trees are commonly reconstructed based on hard optimization problems such as Maximum parsimony (MP) and Maximum likelihood (ML). Conventional MP heuristics for produc...
Anupam Bhattacharjee, Kazi Zakia Sultana, Zalia Sh...