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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 4 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
IPPS
2009
IEEE
15 years 4 months ago
A parallel hybrid genetic algorithm-simulated annealing for solving Q3AP on computational grid
In this paper we propose a parallel hybrid genetic method for solving Quadratic 3-dimensional Assignment Problem (Q3AP). This problem is proved to be computationally NP-hard. The ...
Lakhdar Loukil, Malika Mehdi, Nouredine Melab, El-...
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 4 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
JUCS
2006
112views more  JUCS 2006»
14 years 10 months ago
A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi