A theoretical and experimental analysis is made of the effects of self-adaptation in a simple evolving system. Specifically, we consider the effects of coding the mutation and ...
Christopher R. Stephens, I. Garcia Olmedo, J. Mora...
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
In this paper a new class of hybridization strategies between GA and PSO is presented and validated. The Genetical Swarm Optimization (GSO) approach is presented here with respect ...
A. Gandelli, F. Grimaccia, Marco Mussetta, Paola P...
This paper proposes an improved model for the transient of convex combinations of adaptive filters. A previous model, based on a firstorder Taylor series approximation of the nonl...
Magno T. M. Silva, Vitor H. Nascimento, Jeró...