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GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
13 years 11 months ago
Particle swarm guided evolution strategy
Evolution strategy (ES) and particle swarm optimization (PSO) are two of the most popular research topics for tackling real-parameter optimization problems in evolutionary computa...
Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
13 years 11 months ago
A building-block royal road where crossover is provably essential
One of the most controversial yet enduring hypotheses about what genetic algorithms (GAs) are good for concerns the idea that GAs process building-blocks. More specifically, it ha...
Richard A. Watson, Thomas Jansen
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
13 years 11 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
13 years 11 months ago
Sex and death: towards biologically inspired heuristics for constraint handling
Constrained continuous optimization is still an interesting field of research. Many heuristics have been proposed in the last decade. Most of them are based on penalty functions....
Oliver Kramer, Stephan Brügger, Dejan Lazovic
GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
13 years 11 months ago
DCMA: yet another derandomization in covariance-matrix-adaptation
In a preliminary part of this paper, we analyze the necessity of randomness in evolution strategies. We conclude to the necessity of ”continuous”-randomness, but with a much m...
Olivier Teytaud, Sylvain Gelly
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 11 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
13 years 11 months ago
Modeling XCS in class imbalances: population size and parameter settings
This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the ...
Albert Orriols-Puig, David E. Goldberg, Kumara Sas...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
GECCO
2007
Springer
289views Optimization» more  GECCO 2007»
13 years 11 months ago
A discrete particle swarm optimization algorithm for the generalized traveling salesman problem
Dividing the set of nodes into clusters in the well-known traveling salesman problem results in the generalized traveling salesman problem which seeking a tour with minimum cost p...
Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan,...