976 search results - page 55 / 196 » Multimodal Optimization Using a Bi-Objective Evolutionary Al... |
TFS
2008
13 years 8 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
ICST
2010
IEEE
13 years 7 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...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
PPSN
2004
Springer
14 years 2 months ago
2004
Springer
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
GECCO
2003
Springer
14 years 2 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...