In recent years the unconstrained binary quadratic program (UBQP) has grown in
importance in the field of combinatorial optimization due to its application potential and its …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

The term 'Memetic Algorithms'[74](MAs) was introduced in the late 80s to denote a family of
metaheuristics that have as central theme the hybridization of different algorithmic …

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

Results This paper presents the R/Bioconductor package minet (version 1.1. 6) which
provides a set of functions to infer mutual information networks from a dataset. Once fed with …

In this paper, we propose a fast optimisation algorithm for approximately minimising convex
quadratic functions over the intersection of affine and separable constraints (ie the Cartesian …

The paper presents MRNET, an original method for inferring genetic networks from
microarray data. The method is based on maximum relevance/minimum redundancy …

The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …

The paper presents an original filter approach for effective feature selection in microarray
data characterized by a large number of input variables and a few samples. The approach is …

Though empirical testing is broadly used to evaluate heuristics, there are shortcomings with
how it is often applied in practice. In a systematic review of Max-Cut and quadratic …