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SODA
1998
ACM
13 years 9 months ago
1998
ACM
GECCO
2003
Springer
14 years 23 days ago
2003
Springer
It is well known that using high-locality representations is important for efficient evolutionary search. This paper discusses how the locality of a representation influences the ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
CEC
2008
IEEE
13 years 9 months ago
2008
IEEE
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...