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» Introduction to genetic algorithms
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ICMAS
1998
15 years 8 months ago
Determining Successful Negotiation Strategies: An Evolutionary Approach
To be successful in open, multi-agent environments, autonomous agents must be capable of adapting their negotiation strategies and tactics to their prevailing circumstances. To th...
Noyda Matos, Carles Sierra, Nicholas R. Jennings
ICPR
2008
IEEE
16 years 7 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
IPSN
2010
Springer
16 years 1 months ago
Distributed genetic evolution in WSN
Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can aï¬...
Philip Valencia, Peter Lindsay, Raja Jurdak
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
16 years 1 months ago
Genetic MRF model optimization for real-time victim detection in search and rescue
— One primary goal in rescue robotics is to deploy a team of robots for coordinated victim search after a disaster. This requires robots to perform subtasks, such as victim detec...
Alexander Kleiner, Rainer Kümmerle
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
16 years 26 days ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov