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EMO
2009
Springer
143views Optimization» more  EMO 2009»
13 years 6 months ago
Adapting to the Habitat: On the Integration of Local Search into the Predator-Prey Model
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...
IAT
2008
IEEE
14 years 3 months ago
Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...
Luis de Marcos, Roberto Barchino, José-Javi...
CEC
2010
IEEE
13 years 10 months ago
A mixed strategy for Evolutionary Programming based on local fitness landscape
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...
Liang Shen, Jun He
CEC
2007
IEEE
14 years 3 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers
ASPDAC
2004
ACM
118views Hardware» more  ASPDAC 2004»
14 years 2 months ago
Fast and efficient voltage scheduling by evolutionary slack distribution
- To minimize energy consumption by voltage scaling in design of heterogeneousreal-time embeddedsystems, it is necessary to perfom two distinct tasks: task scheduling (TS) and volt...
Bita Gorjiara, Pai H. Chou, Nader Bagherzadeh, Meh...