165 search results - page 2 / 33 » On Test Functions for Evolutionary Multi-objective Optimizat... |
121
Voted
CEC
2007
IEEE
15 years 9 months ago
2007
IEEE
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
130
Voted
EMO
2006
Springer
15 years 6 months ago
2006
Springer
Multi-Objective Evolutionary Algorithms (MOEA) have been succesfully applied to solve control problems. However, many improvements are still to be accomplished. In this paper a new...
124
Voted
GECCO
2009
Springer
15 years 7 months ago
2009
Springer
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
125
Voted
ICST
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract—This paper presents TestFul, an evolutionary testing approach for Java classes that works both at class and method level. TestFul exploits a multi-objective evolutionary...
AIIDE
2008
15 years 4 months ago
2008
It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realis...