904 search results - page 94 / 181 » The State Problem for Evolutionary Testing |
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
In this paper, we present simple and genetic forms of an evolutionary paradigm known as a society of hill-climbers (SoHC). We compare these simple and genetic SoHCs on a test suite...
MICAI
2004
Springer
15 years 3 months ago
2004
Springer
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
GECCO
2009
Springer
15 years 2 months ago
2009
Springer
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
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HAIS
2009
Springer
15 years 1 months ago
2009
Springer
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
EMO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...