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EMO
2005
Springer
123views Optimization» more  EMO 2005»
13 years 10 months ago
Initial Population Construction for Convergence Improvement of MOEAs
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
Christian Haubelt, Jürgen Gamenik, Jürge...
EMO
2009
Springer
143views Optimization» more  EMO 2009»
13 years 2 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...
CIS
2006
Springer
13 years 8 months ago
A New Multi-objective Evolutionary Optimisation Algorithm: The Two-Archive Algorithm
Many Multi-Objective Evolutionary Algorithms (MOEAs) have been proposed in recent years. However, almost all MOEAs have been evaluated on problems with two to four objectives only...
Kata Praditwong, Xin Yao
INFOCOM
2007
IEEE
13 years 11 months ago
A Framework for Multi-Objective SLA Compliance Monitoring
Abstract— Service level agreements (SLAs) specify performance guarantees made by service providers, typically in terms of packet loss, delay, delay variation, and network availab...
Joel Sommers, Paul Barford, Nick G. Duffield, Amos...
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
13 years 10 months ago
Convergence Examples of a Filter-Based Evolutionary Algorithm
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
Lauren M. Clevenger, William E. Hart