Now showing items 1-10 of 17
Robot Base Disturbance Optimization with Compact Differential Evolution Light
(Springer Berlin Heidelberg, 2012-04)
Despite the constant growth of the computational power in consumer electronics, very simple hardware is still used in space applications. In order to obtain the highest possible reliability, in space systems limited-power ...
Memory-saving memetic computing for path-following mobile robots
Large Scale Problems in Practice: The effect of dimensionality on the interaction among variables
This article performs a study on correlation between pairs of variables in dependence on the problem dimensionality. Two tests, based on Pearson and Spearman coefficients, have been designed and used in this work. In total, ...
Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes
Three Stage Optimal Memetic Exploration (3SOME) is a recently proposed algorithmic framework which sequentially perturbs a single solution by means of three operators. Although 3SOME proved to be extremely successful at ...
Multi-strategy coevolving aging particle optimization
(World Scientific, 2014)
Continuous Parameter Pools in Ensemble Differential Evolution
Ensemble of parameters and mutation strategies differential evolution (EPSDE) is an elegant promising optimization framework based on the idea that a pool of mutation and crossover strategies along, with associated pools ...
Compact differential evolution light: high performance despite limited memory requirement and modest computational overhead
(Springer US, 2012-09-01)
Compact algorithms are Estimation of Distribution Algorithms which mimic the behavior of population-based algorithms by means of a probabilistic representation of the population of candidate solutions. These algorithms ...
Ockham's Razor in memetic computing: Three stage optimal memetic exploration
Memetic computing is a subject in computer science which considers complex structures as the combination of simple agents, memes, whose evolutionary interactions lead to intelligent structures capable of problem-solving. ...
Composed compact differential evolution
This paper proposes a novel algorithm for solving continuous complex optimization problems with a relatively low memory consumption. The proposed approach, namely Composed compact Differential Evolution, consists of a set ...