most citedA Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO

16 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

math.CO200916 cited

A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO

Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi

This paper gives a concise overview of evolutionary algorithms for multiobjective optimization. A substantial number of evolutionary computation methods for multiobjective problem…

q-bio.QM20082 cited

Parallel multi-objective algorithms for the molecular docking problem

Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi +1

Molecular docking is an essential tool for drug design. It helps the scientist to rapidly know if two molecules, respectively called ligand and receptor, can be combined together t…

math.CO20087 cited

Metaheuristics and Their Hybridization to Solve the Bi-objective Ring Star Problem: a Comparative Study

Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi

This paper presents and experiments approaches to solve a new bi-objective routing problem called the ring star problem. It consists of locating a simple cycle through a subset of…

q-bio.BM2008

A Preliminary Work on Evolutionary Identification of Protein Variants and New Proteins on Grids

Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi

Protein identification is one of the major task of Proteomics researchers. Protein identification could be resumed by searching the best match between an experimental mass spectrum…

q-bio.QM2008

Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry

Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi +1

In Proteomics, only the de novo peptide sequencing approach allows a partial amino acid sequence of a peptide to be found from a MS/MS spectrum. In this article a preliminary work…