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EVOW
2004
Springer
15 years 6 months ago
Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction
A novel approach for sensor planning, which incorporates multi-objective optimization principals into the autonomous design of sensing strategies, is presented. The study addresses...
Enrique Dunn, Gustavo Olague
109
Voted
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
IFIP
2000
Springer
15 years 6 months ago
Implementing Open Network Technologies in Complex Work Practices: A Case from Telemedicine
New non-desktop technologies may turn out to be of a more open and generic nature than traditional information technologies. These technologies consequently pose novel challenges ...
Margunn Aanestad, Ole Hanseth
150
Voted
AIIA
1995
Springer
15 years 6 months ago
Evolving non-Trivial Behaviors on Real Robots: an Autonomous Robot that Picks up Objects
Recently, a new approach that involves a form of simulated evolution has been proposed for the building of autonomous robots. However, it is still not clear if this approach may b...
Stefano Nolfi, Domenico Parisi
119
Voted
CEC
2009
IEEE
15 years 5 months ago
A simple multi-objective optimization algorithm for the urban transit routing problem
— The urban transit routing problem (UTRP) for public transport systems involves finding a set of efficient transit routes to meet customer demands. The UTRP is an NPHard, high...
Lang Fan, Christine L. Mumford, Dafydd Evans