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» Evolving Objects: A General Purpose Evolutionary Computation...
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GECCO
2010
Springer
178views Optimization» more  GECCO 2010»
14 years 7 days ago
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...
CEC
2009
IEEE
14 years 2 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
14 years 29 days 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
185views Optimization» more  GECCO 2007»
14 years 1 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming