… Natalio Krasnogor did his systems analysis and informatics studies at the Universidad
Nacional de La Plata, La Plata, Argentina, and received the Ph.D. degree from the University of …

Motivation: Assessing functional associations between an experimentally derived gene or
protein set of interest and a database of known gene/protein sets is a common task in the …

This paper presents a real-coded memetic algorithm that applies a crossover hill-climbing to
solutions produced by the genetic operators. On the one hand, the memetic algorithm …

Many aspects of Nature, Biology or even from Society have become part of the techniques
and algorithms used in computer science or they have been used to enhance or hybridize …

Memetic algorithms are evolutionary algorithms that apply a local search process to refine
solutions to hard problems. Memetic algorithms are the subject of intense scientific research …

Seed germination is a complex trait of key ecological and agronomic significance. Few
genetic factors regulating germination have been identified, and the means by which their …

Despite intensive studies during the last 30 years researchers are yet far from the “holy grail”
of blind structure prediction of the three dimensional native state of a protein from its …

Seed germination is a critical stage in the plant life cycle and the first step toward successful
plant establishment. Therefore, understanding germination is of important ecological and …

Mutations in pre-mRNA processing factors (PRPFs) cause autosomal-dominant retinitis
pigmentosa (RP), but it is unclear why mutations in ubiquitously expressed genes cause non-…

In this paper we introduce a promising hybridization scheme for a Memetic Algorithm (MA).
Our MA is composed of two optimization processes, a Genetic Algorithm and a Monte Carlo …