2174 search results - page 139 / 435 » On the Brittleness of Evolutionary Algorithms |
179
click to vote
GECCO
2003
Springer
15 years 11 months ago
2003
Springer
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
149
click to vote
GECCO
2007
Springer
16 years 15 days ago
2007
Springer
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...
145
click to vote
CIG
2005
IEEE
15 years 12 months ago
2005
IEEE
Abstract- In this paper, we apply an Evolutionary Algorithm (EA) to solve the Rubinstein’s Basic AlternatingOffer Bargaining Problem, and compare our experimental results with it...
193
click to vote
GECCO
2005
Springer
15 years 12 months ago
2005
Springer
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
181
click to vote
PPSN
1998
Springer
15 years 10 months ago
1998
Springer
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...