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» Quantitative Aspects of Requirements Evolution
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AE
2005
Springer
15 years 3 months ago
Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
Anne Auger, Mohamed Jebalia, Olivier Teytaud
115
Voted
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 8 months ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
ENTCS
2006
112views more  ENTCS 2006»
14 years 10 months ago
A Petri-Net Based Reflective Framework for the Evolution of Dynamic Systems
Nowadays, software evolution is a very hot topic. Many applications need to be updated or extended with new characteristics during their lifecycle. Software evolution is character...
Lorenzo Capra, Walter Cazzola
73
Voted
GECCO
2010
Springer
192views Optimization» more  GECCO 2010»
15 years 1 months ago
Resource abundance promotes the evolution of public goods cooperation
Understanding the evolution of cooperation as part of an evolutionary stable strategy (ESS) is a difficult problem that has been the focus of much work. The associated costs of co...
Brian D. Connelly, Benjamin E. Beckmann, Philip K....
ECOOP
2004
Springer
15 years 2 months ago
A Reflective Approach to Dynamic Software Evolution
In this paper, we present a solution that allows systems to remain active while they are evolving. Our approach goes out from the principle of separated concerns and has two steps....
Peter Ebraert, Tom Tourwé