1149 search results - page 52 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
144
click to vote
GECCO
2008
Springer
15 years 3 months ago
2008
Springer
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
159
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
CEC
2005
IEEE
15 years 8 months ago
2005
IEEE
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
113
Voted
HEURISTICS
2008
15 years 2 months ago
2008
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
140
Voted
EC
2000
15 years 2 months ago
2000
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...