Now showing items 1-8 of 8
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 ...
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 ...
Meta-Lamarckian learning in three stage optimal memetic exploration
(IEEE Xplore, 2012-09)
Three Stage Optimal Memetic Exploration (3SOME) is a single-solution optimization algorithm where the coordinated action of three distinct operators progressively perturb the solution in order to progress towards the ...
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. ...
Handbook of Memetic Algorithms
The Importance of Being Structured: a Comparative Study on Multi Stage Memetic Approaches
Memetic Computing (MC) is a discipline which studies optimization algorithms and sees them as structures of operators, the memes. Although the choice of memes is crucial for an effective algorithmic design, special attention ...