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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 1 months ago
COSMO: a correlation sensitive mutation operator for multi-objective optimization
This contribution is the first to discover exploitable structural features within circuit optimization problems (COP) and discuss how it is indicative of a general structure and ...
Varun Aggarwal, Una-May O'Reilly
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
16 years 1 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
16 years 1 months ago
Finding critical backbone structures with genetic algorithms
This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Adam Prügel-Bennett
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