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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 13 days ago
Inside a predator-prey model for multi-objective optimization: a second study
In this article, new variation operators for evolutionary multiobjective algorithms (EMOA) are proposed. On the basis of a predator-prey model theoretical considerations as well a...
Christian Grimme, Karlheinz Schmitt
ICNC
2005
Springer
14 years 2 months ago
On Evolutionary Optimization of Large Problems Using Small Populations
Abstract. Small populations are very desirable for reducing the required computational resources in evolutionary optimization of complex real-world problems. Unfortunately, the sea...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
CEC
2008
IEEE
14 years 3 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
PPSN
1998
Springer
14 years 1 months ago
A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study
This paper presents a novel evolutionary approach of approximating the shape of the Pareto-optimal set of multi-objective optimization problems. The evolutionary algorithm (EA) use...
Marco Laumanns, Günter Rudolph, Hans-Paul Sch...
GECCO
2009
Springer
147views Optimization» more  GECCO 2009»
14 years 3 months ago
Evolutionary algorithms and multi-objectivization for the travelling salesman problem
This paper studies the multi-objectivization of single-objective optimization problems (SOOP) using evolutionary multi-objective algorithms (EMOAs). In contrast to the single-obje...
Martin Jähne, Xiaodong Li, Jürgen Branke