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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
ACMDIS
1997
ACM
15 years 2 months ago
How to Make Software Softer - Designing Tailorable Applications
The design of tailorable systems is an important issue for fields of application which are characterized by differentiation and dynamics. We show how tailorability can be combined...
Oliver Stiemerling, Helge Kahler, Volker Wulf
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
ECAL
2005
Springer
15 years 3 months ago
CoEvolutionary Incremental Modelling of Robotic Cognitive Mechanisms
Abstract. Recently, brain models attempt to support cognitive abilities of artificial organisms. Incremental approaches are often employed to support modelling process. The presen...
Michail Maniadakis, Panos E. Trahanias
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 3 months ago
Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
While operating a crane for maximum productivity, the time of operation and the required energy are two important conflicting factors faced by a crane operator. In such a case, tr...
Kalyanmoy Deb, Naveen Kumar Gupta