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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 months ago
Particle swarm with speciation and adaptation in a dynamic environment
This paper describes an extension to a speciation-based particle swarm optimizer (SPSO) to improve performance in dynamic environments. The improved SPSO has adopted several prove...
Xiaodong Li, Jürgen Branke, Tim Blackwell
CEC
2009
IEEE
14 years 18 days ago
A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning
—A cooperative coevolutionary algorithm (CCEA) is an extension to an evolutionary algorithm (EA); it employs a divide and conquer strategy to solve an optimization problem. In it...
Tapabrata Ray, Xin Yao
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 2 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
13 years 11 months ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli
GECCO
2010
Springer
178views Optimization» more  GECCO 2010»
14 years 21 days ago
Crossing the reality gap in evolutionary robotics by promoting transferable controllers
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
Sylvain Koos, Jean-Baptiste Mouret, Stéphan...