Cosolver2B: An efficient local search heuristic for the Travelling Thief Problem. - Mohamed El Yafrani; Belaïd Ahiod (AICCSA, 2015)

Population-based vs. Single-solution Heuristics for the Travelling Thief Problem. - Mohamed El Yafrani; Belaïd Ahiod (GECCO, 2016)

Étude de Problèmes d'Optimisation Combinatoire à Multiples Composantes Interdépendantes. - Mohamed El Yafrani; Belaïd Ahiod (CoRR, 2016)

Multi-objectiveness in the single-objective traveling thief problem. - Mohamed El Yafrani; Shelvin Chand; Aneta Neumann; Belaïd Ahiod; Markus Wagner 007 (GECCO (Companion), 2017)

A local search based approach for solving the Travelling Thief Problem: The pros and cons. - Mohamed El Yafrani; Belaïd Ahiod (Appl. Soft Comput., 2017)

On the Performance of Multi-Objective Estimation of Distribution Algorithms for Combinatorial Problems. - Marcella S. R. Martins; Mohamed El Yafrani; Roberto Santana 001; Myriam Regattieri Delgado; Ricardo Lüders; Belaïd Ahiod (CEC, 2018)

A fitness landscape analysis of the travelling thief problem. - Mohamed El Yafrani; Marcella S. R. Martins; Mehdi El Krari; Markus Wagner 007; Myriam Regattieri de Biase da Silva Delgado; Belaïd Ahiod; Ricardo Lüders (GECCO, 2018)

A hybrid crow search algorithm for solving the DNA fragment assembly problem. - Mohcin Allaoui; Belaïd Ahiod; Mohamed El Yafrani (Expert Syst. Appl., 2018)

A hyperheuristic approach based on low-level heuristics for the travelling thief problem. - Mohamed El Yafrani; Marcella S. R. Martins; Markus Wagner 007; Belaïd Ahiod; Myriam Regattieri Delgado; Ricardo Lüders (Genet. Program. Evolvable Mach., 2018)

Efficiently solving the Traveling Thief Problem using hill climbing and simulated annealing. - Mohamed El Yafrani; Belaïd Ahiod (Inf. Sci., 2018)

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Inkyung Sung; Markus Wagner 007; Diego Oliva (BRACIS, 2019)

On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms. - Mohamed El Yafrani; Marcella S. R. Martins; Myriam Regattieri de Biase da Silva Delgado; Inkyung Sung; Ricardo Lüders; Markus Wagner 007 (CoRR, 2019)

A study of problems with multiple interdependent components - Part I. - Mohamed El Yafrani (CoRR, 2019)

Multi-layer local optima networks for the analysis of advanced local search-based algorithms. - Marcella S. R. Martins; Mohamed El Yafrani; Myriam R. B. S. Delgado; Ricardo Lüders (GECCO, 2020)

MATE: A Model-based Algorithm Tuning Engine. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Inkyung Sung; Markus Wagner 007; Carola Doerr; Peter Nielsen (CoRR, 2020)

MATE: A Model-Based Algorithm Tuning Engine - A Proof of Concept Towards Transparent Feature-Dependent Parameter Tuning Using Symbolic Regression. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Inkyung Sung; Markus Wagner 007; Carola Doerr; Peter Nielsen (EvoCOP, 2021)

A selection hyperheuristic guided by Thompson sampling for numerical optimization. - Marcella Scoczynski Ribeiro Martins; Diego Oliva; Erick Rodríguez-Esparza; Myriam Regattieri Delgado; Ricardo Lüders; Mohamed El Yafrani; Luiz Ledo; Mohamed E. Abd Elaziz; Marco Antonio Pérez Cisneros (GECCO Companion, 2021)

Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape. - Marcella S. R. Martins; Mohamed El Yafrani; Myriam Regattieri Delgado; Ricardo Lüders; Roberto Santana 001; Hugo Valadares Siqueira; Huseyin Gokhan Akcay; Belaïd Ahiod (J. Heuristics, 2021)

Saving computational budget in Bayesian network-based evolutionary algorithms. - Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Diego Oliva; Markus Wagner 007; Inkyung Sung; Mohamed El Yafrani (Nat. Comput., 2021)

On the fitness landscapes of interdependency models in the travelling thief problem. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Peter Nielsen; Markus Wagner 007 (GECCO Companion, 2022)

A GRASP-Based Approach for Planning UAV-Assisted Search and Rescue Missions. - Casper Bak Pedersen; Kasper Gaj Nielsen; Kasper Rosenkrands; Alex Elkjær Vasegaard; Peter Nielsen; Mohamed El Yafrani (Sensors, 2022)

A regression analysis of the impact of routing and packing dependencies on the expected runtime. - Mohamed El Yafrani; Marcella Scoczynski; Markus Wagner 007; Peter Nielsen (Soft Comput., 2023)

A Scheduling Solution for Robotic Arm-Based Batching Systems with Multiple Conveyor Belts. - Kasper Gaj Nielsen; Inkyung Sung; Mohamed El Yafrani; Deniz Kenan Kiliç; Peter Nielsen (Algorithms, 2023)

Trustworthiness analysis of heuristic routing algorithm with special constraints for autonomous vehicles in surveillance and coverage operations. - Deniz Kenan Kiliç; Peter Nielsen; Fabian Miehe; Mohamed El Yafrani (Int. J. Syst. Sci., 2025)