Mohamed El Yafrani
Mohamed El Yafrani
Postdoc fellow at Aalborg University
Verified email at mp.aau.dk - Homepage
Title
Cited by
Cited by
Year
Population-based vs. single-solution heuristics for the travelling thief problem
M El Yafrani, B Ahiod
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 317-324, 2016
452016
Efficiently solving the traveling thief problem using hill climbing and simulated annealing
M El Yafrani, B Ahiod
Information Sciences 432, 231-244, 2018
312018
A hybrid crow search algorithm for solving the DNA fragment assembly problem
M Allaoui, B Ahiod, M El Yafrani
Expert Systems with Applications 102, 44-56, 2018
302018
HSEDA: a heuristic selection approach based on estimation of distribution algorithm for the travelling thief problem
MSR Martins, M El Yafrani, MRBS Delgado, M Wagner, B Ahiod, R Lüders
Proceedings of the Genetic and Evolutionary Computation Conference, 361-368, 2017
302017
A hyperheuristic approach based on low-level heuristics for the travelling thief problem
M El Yafrani, M Martins, M Wagner, B Ahiod, M Delgado, R Lüders
Genetic Programming and Evolvable Machines, 1-30, 2017
282017
A Local Search based Approach for Solving the Travelling Thief Problem: The pros and cons
M El Yafrani, B Ahiod
Applied Soft Computing, 2016
252016
A fitness landscape analysis of the travelling thief problem
ME Yafrani, MSR Martins, ME Krari, M Wagner, MRBS Delgado, B Ahiod, ...
Proceedings of the Genetic and Evolutionary Computation Conference, 277-284, 2018
192018
Multi-objectiveness in the Single-objective Traveling Thief Problem
M El Yafrani, S Chand, A Neumann, B Ahiod, M Wagner
142017
Cosolver2B: An Efficient Local Search Heuristic for the Travelling Thief Problem
M El Yafrani, B Ahiod
2015 IEEE/ACS 12th International Conference of Computer Systems and …, 2016
132016
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems
MSR Martins, M El Yafrani, R Santana, M Delgado, R Lüders, B Ahiod
2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018
92018
Multi-layer local optima networks for the analysis of advanced local search-based algorithms
MSR Martins, ME Yafrani, MRBS Delgado, R Lüders
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 219-227, 2020
12020
On updating probabilistic graphical models in Bayesian Optimisation Algorithm
M El Yafrani, M Scoczynski, M Delgado, R Lüders, I Sung, M Wagner, ...
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 311-316, 2019
12019
Analysis of Bayesian Network Learning Techniques for a Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm: a case study on MNK Landscape
MSR Martins, M El Yafrani, M Delgado, R Lüders, R Santana, HV Siqueira, ...
Journal of Heuristics 27 (4), 549-573, 2021
2021
A selection hyperheuristic guided by Thompson sampling for numerical optimization
M Scoczynski, D Oliva, E Rodríguez-Esparza, M Delgado, R Lüders, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
2021
Analysis of a local search heuristic for the generalized assignment problem with resource-independent task profits and identical resource capacity
M El Yafrani, I Sung, B Krach, F Katsilieris, P Nielsen
Engineering Optimization, 1-15, 2021
2021
MATE: A Model-based Algorithm Tuning Engine-A proof of concept towards transparent feature-dependent parameter tuning using symbolic regression
M El Yafrani, M Scoczynski, I Sung, M Wagner, C Doerr, P Nielsen
Evolutionary Computation in Combinatorial Optimization (EvoCOP'21) 12692, 51-67, 2021
2021
Saving computational budget in Bayesian network-based evolutionary algorithms
M Scoczynski, M Delgado, R Lüders, D Oliva, M Wagner, I Sung, ...
Natural Computing, 1-16, 2021
2021
A study of problems with multiple interdependent components-Part I
ME Yafrani
arXiv preprint arXiv:1903.03557, 2019
2019
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
ME Yafrani, MSR Martins, MRBS Delgado, I Sung, R Lüders, M Wagner
arXiv preprint arXiv:1902.05946, 2019
2019
Artificial Intelligence in Operations Research
I Sung, S Saha, AE Vasegaard, B Choi, P Nielsen, M El Yafrani, ...
2019
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Articles 1–20