Whereas most blind source separation (BSS) and blind mixture identification (BMI)
investigations concern linear mixtures (instantaneous or not), various recent works extended …

Evolutionary multiobjective optimization with decomposition, in which the algorithm is not
required to differentiate between the dominated and nondominated solutions, is one of the …

Abstract Independent Component Analysis, a computationally efficient blind statistical signal
processing technique, has been an area of interest for researchers for many practical …

Conservation of information theorems indicate that any search algorithm performs, on
average, as well as random search without replacement unless it takes advantage of …

The underdetermined blind source separation (BSS), which based on sparse
representation, is discussed in this paper; moreover, some difficulties (or real assumptions) …

The present paper proposes a bacteria foraging optimization based independent
component analysis (BFOICA) algorithm assuming a linear noise free model. It is observed …

In this paper, we propose two multi-objective memetic algorithms (MOMAs) using two
different adaptive mechanisms to address combinatorial optimization problems (COPs). One …

One of the preprocessors can be used to improve the performance of brain-computer
interface (BCI) systems is independent component analysis (ICA). ICA is a signal processing …

Third-generation mobile systems provide access to a wide range of services and enable
mobile users to communicate, regardless of their geographical location and their roaming …

The nonlinear independent component analysis (NLICA) is an extension of the standard ICA
model that does not restrict the mixing system to be linear. Different algorithms have been …