In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
In this Chapter we present the modification of a Differential Evolution algorithm to solve constrained optimization problems. The changes include a deterministic and a self-adapti...
The performance of multiuser detection (MUD) algorithms for codedivision multiple-access (CDMA) systems depends on the accuracy of channel estimates. Such estimates are typically ...
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
Abstract— This paper presents a comparison of four bioinspired algorithms (all seen as search engines) with a similar constraint-handling mechanism (Deb’s feasibility rules) to...