135 search results - page 7 / 27 » Evolutionary algorithms for dynamic optimization problems: w... |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
TEC
2002
13 years 7 months ago
2002
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
This paper presents a hybrid evolutionary programming algorithm to solve the spread spectrum radar polyphase code design problem. The proposed algorithm uses an Evolutionary Progr...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathemat...