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» An algorithmic approach to knowledge evolution
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CEC
2008
IEEE
15 years 9 months ago
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies
Abstract—While scalarization approaches to multicriteria optimization become infeasible in the case of many objectives, for few objectives the benefits of populationbased method...
Thomas Voß, Nicola Beume, Günter Rudolp...
KR
2004
Springer
15 years 8 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
15 years 8 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 28 days ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
GECCO
2010
Springer
170views Optimization» more  GECCO 2010»
15 years 8 months ago
Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...
José Manuel Colmenar, José L. Risco-...