165 search results - page 4 / 33 » On Test Functions for Evolutionary Multi-objective Optimizat... |
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
ADHOCNETS
2009
Springer
14 years 3 hour ago
2009
Springer
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
EMO
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...