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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 8 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 8 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
ANNPR
2008
Springer
15 years 6 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
ANTSW
2008
Springer
15 years 6 months ago
Lattice Formation in Space for a Swarm of Pico Satellites
We present a distributed control strategy that lets a swarm of satellites autonomously form a lattice in orbit around a planet. The system, based on the artificial potential field ...
Carlo Pinciroli, Mauro Birattari, Elio Tuci, Marco...
ECOOP
2008
Springer
15 years 6 months ago
Assessing the Impact of Aspects on Exception Flows: An Exploratory Study
Exception handling mechanisms are intended to support the development of robust software. However, the implementation of such mechanisms with aspectoriented (AO) programming might ...
Roberta Coelho, Awais Rashid, Alessandro Garcia, F...