The format is very poor, the entries are sorted by date of submission to HAL, but this is the best I can do, and HAL is not helping us in any way.
OK, we can now sort by year - but we would need as many RSS feeds as (years x staff-members) to achieve what is after all still an ugly-looking result without the information we are entitlted to find on a publication page.
Thank you HAL.

2007

• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.
• [inria-00177279] A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data.

2006

• [inria-00116345] On the Benefits of Inoculation an Example in Train Scheduling
• [inria-00121779] Divide-and-Evolve une nouvelle méta-heuristique pour la planification temporelle indépendante du domaine
• [inria-00118652] Evolutionary Design of Buildable Objects with BlindBuilder an Empirical Study
• [inria-00000995] BlindBuilder a new encoding to evolve Lego-like structures
• [inria-00122088] Evolutionary Latent Class Clustering of Qualitative Data
• [inria-00122088] Evolutionary Latent Class Clustering of Qualitative Data
• [inria-00122088] Evolutionary Latent Class Clustering of Qualitative Data
• Evolutionary Latent Class Clustering of Qualitative Data
• [inria-00121779] Divide-and-Evolve : une nouvelle méta-heuristique pour la planification temporelle indépendante du domaine
• [inria-00121779] Divide-and-Evolve : une nouvelle méta-heuristique pour la planification temporelle indépendante du domaine

2005

• [ird-00391596] Using coarse remote sensing radar observations to control the trajectory of a simple Sahelian land suiface model
• [ird-00391596] Using coarse remote sensing radar observations to control the trajectory of a simple Sahelian land suiface model
• [ird-00391596] Using coarse remote sensing radar observations to control the trajectory of a simple Sahelian land suiface model
• Using coarse remote sensing radar observations to control the trajectory of a simple Sahelian land suiface model
• [inria-00000546] Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable ?
• [inria-00000546] Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable ?
• [inria-00000546] Apprentissage statistique et programmation génétique la croissance du code est-elle inévitable ?
• Apprentissage statistique et programmation génétique: la croissance du code est-elle inévitable ?
• [inria-00000540] Local and global oder 3/2 convergence of a surrogate evolutionary algorithm
• [inria-00000538] An efficient memetic permutation-based evolutionary algorithm for real-world train timetabling

2004

• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation
• [hal-02987505] LS-CMA-ES: a Second-order algorithm for Covariance Matrix Adaptation

2003

• [inria-00071665] Rigorous analysis of some simple adaptive ES
• [inria-00201075] ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms
• [inria-00201074] GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
• [inria-00201075] ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms
• [inria-00201075] ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms
• [inria-00201074] GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
• [inria-00201074] GUIDE: Unifying Evolutionary Engines through a Graphical User Interface
• [inria-00145206] Evolving Symbolic Controllers
• [inria-00145206] Evolving Symbolic Controllers
• [inria-00145206] Evolving Symbolic Controllers

2002

• [inria-00001094] Using Domain Knowledge in Evolutionary System Identification
• [inria-00001094] Using Domain Knowledge in Evolutionary System Identification
• [inria-00001094] Using Domain Knowledge in Evolutionary System Identification
• Using Domain Knowledge in Evolutionary System Identification
• [inria-00000848] Application of a Multi-Objective Evolutionary Algorithm to Topological Optimum Design
• [inria-00000848] Application of a Multi-Objective Evolutionary Algorithm to Topological Optimum Design
• Représentations non structurées en optimisation topologique de formes par algorithmes évolutionnaires
• [inria-00000847] Compact Unstructured Representations for Evolutionary Design
• [inria-00000847] Compact Unstructured Representations for Evolutionary Design
• [inria-00000848] Application of a Multi-Objective Evolutionary Algorithm to Topological Optimum Design