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161
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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 9 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
CEC
2010
IEEE
15 years 5 months ago
A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...
Heiko Hamann, Jürgen Stradner, Thomas Schmick...
154
Voted
CEC
2010
IEEE
15 years 4 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
15 years 10 months ago
Using evolutionary algorithms for the unit testing of object-oriented software
As the paradigm of object orientation becomes more and more important for modern IT development projects, the demand for an automated test case generation to dynamically test obje...
Stefan Wappler, Frank Lammermann
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 10 months ago
Rigorous analyses of simple diversity mechanisms
It is widely assumed and observed in experiments that the use of diversity mechanisms in evolutionary algorithms may have a great impact on its running time. Up to now there is no...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann