evolutionary algorithm
Evolutionary algorithm for state encoding
... the evolutionary algorithm for state encoding that allows Boolean functions to be decomposed in such a way that the dependency of sub-functions obtained as a result of the decomposition on the arguments can ...
10
An evolutionary algorithm to track changes of optimum value locations in dynamic environments
... the algorithm to ...the algorithm to maintain genetic diversity in the population. The algorithm was tested on a set of dynamic testing functions provided by a dynamic fitness problem ...proposed ...
7
Biclustering in data mining using a memetic multi-objective evolutionary algorithm
... multiobjective evolutionary algorithm called BicMinig is ...new algorithm hybridizes the SPEA2 [3] with a new variant of the local search algorithm proposed by Cheng & Church ...
12
Multi-objective optimization with a Gaussian PSO algorithm
... Table 3 shows the p-value for each function and each metric. The results indicate that values reached with G-MOPSO are statistically significative from those of NSGA-II and OMOPSO. Only for GD metric for Schaffer ...
12
Solving hard multiobjective problems with a hybridized method
... Abstract. This paper presents a hybrid method to solve hard multi- objective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto ...
10
Novel Evolutionary based Methods for the Robust Training of SVR and GMDH Regressors
... Table B.1 shows the forecasting made with Clustering evolutionary algorithm for daily average wind. The table contains the result for different number of classes, and also shows the results with two ...
173
Evolutionary optimization in dynamic fitness landscape environments
... In the worst case, for some functions and harder scenarios (higher dimensionality and multimodality), the algorithm is not successful to adapt to 100% of the changes (120 changes in 30 runs). But indeed, under ...
11
The multivariate bisection algorithm
... In this work we have clarified how a multidimensional bisection algorithm should be performed extending the idea of the classic one dimensional bisection algorithm. Due to the preconditioning at each step ...
20
A runnable functional formal memetic algorithm framework
... Vestin's master thesis 24] presents a genetic algorithm in Haskell 20] that uses poly- typic programming 10] and Haskell's class system 13]. Due to the use of polytypism, the program is easily extended to solve ...
12
Global numerical optimization with a bi-population particle swarm optimizer
... Oltean et al. [5] evolved the structure of a Particle Swarm Optimization with a new model. The model is a hybrid method that combines a basic PSO and a genetic algorithm. The genetic algorithm chromosomes ...
12
Un enfoque multiobjetivo en redes periódicas de tiempo continuo
... Pareto Evolutionary Algorithm), implementado y luego comparado con respecto a los prin cipales algoritmos del estado del arte como: DSDV, DSR, AODV, EG Shortest y EG Foremost, demostrando en las ...
10