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» An Introduction to Evolutionary Programming
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GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 5 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 6 months ago
Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem
In this paper, we describe a new algorithm that consists in combining an eye-tracker for minimizing the fatigue of a user during the evaluation process of Interactive Evolutionary...
Denis Pallez, Philippe Collard, Thierry Baccino, L...
EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
15 years 1 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
SCAI
2001
15 years 1 months ago
A Step Towards Incremental On-Board Evolutionary Robotics
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...
Pavel Petrovic
ENGL
2007
136views more  ENGL 2007»
14 years 11 months ago
Multilayered Evolutionary Architecture for Behaviour Arbitration in Cognitive Agents
— In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architectur...
Oscar Javier Romero López