Now showing items 1-10 of 59
Recent advances in differential evolution: a survey and experimental analysis
Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous optimization. For these reasons DE has often been employed for solving various engineering problems. On the other hand, the DE ...
Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots
(IOS Press, 2016)
This paper proposes a novel trajectory tracking control approach for nonholonomic wheeled mobile robots. In this approach, the integration of feed-forward and feedback controls is presented to design the kinematic controller ...
Guest editorial: memetic computing in the presence of uncertainties.
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 ...
Two Algorithmic Enhancements for the Parallel Differential Evolution
This paper proposes the use of two algorithms based on the parallel differential evolution. The first algorithm proposes the use of endemic control parameters within a parallel differential evolution algorithm; the ...
A Study on scale factor in distributed differential evolution.
This paper proposes the employment of multiple scale factor values within distributed differential evolution structures. Four different scale factor schemes are proposed, tested, compared and analyzed. Two schemes simply ...
Artificial compound eye: a survey of the state-of-the-art
An artificial compound eye system is the bionic system of natural compound eyes with much wider field-of-view, better capacity to detect moving objects and higher sensitivity to light intensity than ordinary single-aperture ...
Compact Differential Evolution
This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other compact evolutionary algorithms, does not process a population of solutions but its statistic description which evolves similarly to ...
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, ...