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108
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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 4 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
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 7 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
91
Voted
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 5 months ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
104
Voted
CEC
2005
IEEE
15 years 6 months ago
Dynamic niching in evolution strategies with covariance matrix adaptation
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identi...
Ofer M. Shir, Thomas Bäck
140
Voted
SSD
2007
Springer
171views Database» more  SSD 2007»
15 years 6 months ago
Transformation of Continuous Aggregation Join Queries over Data Streams
We address continuously processing an aggregation join query over data streams. Queries of this type involve both join and aggregation operations, with windows specified on join ...
Tri Minh Tran, Byung Suk Lee