Bilel Derbel

Orcid: 0000-0002-4156-8490

According to our database1, Bilel Derbel authored at least 103 papers between 2003 and 2024.

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Bibliography

2024
Large-scale and cooperative graybox parallel optimization on the supercomputer Fugaku.
J. Parallel Distributed Comput., 2024

On bi-objective combinatorial optimization with heterogeneous objectives.
Eur. J. Oper. Res., 2024

Massively parallel CMA-ES with increasing population.
CoRR, 2024

Scalable Quantum Approximate Optimiser for Pseudo-Boolean Multi-objective Optimisation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Speeding up the Multi-objective NAS Through Incremental Learning.
Proceedings of the Advances in Soft Computing, 2024

2023
Data for GECCO2023 Paper "Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness".
Dataset, July, 2023

Replication package of paper "Local Optima Markov Chains: A New Tool for Landscape-aware Analysis of Algorithm Dynamics" published in GECCO 2023.
Dataset, April, 2023

Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions.
Appl. Soft Comput., March, 2023

Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Local Optima Markov Chain: A New Tool for Landscape-aware Analysis of Algorithm Dynamics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Fourier Transform-based Surrogates for Permutation Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

To Combine or not to Combine Graybox Crossover and Local Search?
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Moead-framework: a modular MOEA/D Python framework.
J. Open Source Softw., October, 2022

Scaling the SOO Global Blackbox Optimizer on a 128-core Architecture.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Boomerang-shaped neural embeddings for NK landscapes.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Multi-objective NK landscapes with heterogeneous objectives.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Drils revisited: on the combination of perturbation with graybox optimization techniques.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations.
Adv. Oper. Res., 2021

Motion Estimation via Scale-Space in Unsupervised Deep Learning.
Proceedings of the International Conference on Information Networking, 2021

Convolutional Neural Networks based on Random Kernels in the Frequency Domain.
Proceedings of the International Conference on Information Networking, 2021

On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A graph coloring based parallel hill climber for large-scale NK-landscapes.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

Enhancing Moea/d with Escape Mechanisms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2020

Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems.
CoRR, 2020

Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On the Design of a Partition Crossover for the Quadratic Assignment Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Algorithm selection of anytime algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Fitness landscape analysis to understand and predict algorithm performance for single- and multi-objective optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

2019
Dynamic compartmental models for algorithm analysis and population size estimation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Studying com partmental models interpolation to estimate MOEAs population size.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

New features for continuous exploratory landscape analysis based on the SOO tree.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Estimating Relevance of Variables for Effective Recombination.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A Parallel Tabu Search for the Large-scale Quadratic Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

On Pareto Local Optimal Solutions Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Parallel pareto local search revisited: first experimental results on bi-objective UBQP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Studying MOEAs dynamics and their performance using a three compartmental model.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Pareto dominance-based MOEAs on problems with difficult pareto set topologies.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A set-oriented MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Using Parallel Strategies to Speed up Pareto Local Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Analysis of a Batch Strategy for a Master-Worker Adaptive Selection Algorithm Framework.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

Learning Variable Importance to Guide Recombination on Many-Objective Optimization.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Closed state model for understanding the dynamics of MOEAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

On the Design of a Master-Worker Adaptive Algorithm Selection Framework.
Proceedings of the Artificial Evolution, 2017

2016
Parallel Branch-and-Bound in multi-core multi-CPU multi-GPU heterogeneous environments.
Future Gener. Comput. Syst., 2016

Learning variable importance to guide recombination.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Multi-objective Local Search Based on Decomposition.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A Correlation Analysis of Set Quality Indicator Values in Multiobjective Optimization.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Local Search Move Strategies within MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Experiments on Greedy and Local Search Heuristics for <i>d</i>dimensional Hypervolume Subset Selection.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
CHRA: a coloring based hierarchical routing algorithm.
J. Ambient Intell. Humaniz. Comput., 2015

Feature Cluster on "Evolutionary multiobjective optimization".
Eur. J. Oper. Res., 2015

Geometric Differential Evolution in MOEA/D: A Preliminary Study.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

A Hybrid ILS-VND Based Hyper-heuristic for Permutation Flowshop Scheduling Problem.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Injecting CMA-ES into MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

On Maintaining Diversity in MOEA/D: Application to a Biobjective Combinatorial FJSP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Simultaneous optimistic optimization on the noiseless BBOB testbed.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A fine-grained message passing MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies.
Proceedings of the Artificial Evolution, 2015

2014
Distributed localized bi-objective search.
Eur. J. Oper. Res., 2014

An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Shake Them All! - Rethinking Selection and Replacement in MOEA/D.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

On the Impact of Multiobjective Scalarizing Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Link-Heterogeneous Work Stealing.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

Collision aware coloring algorithm for wireless sensor networks.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

Multiobjectivization with NSGA-ii on the noiseless BBOB testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Coloring based Hierarchical Routing Approach.
Proceedings of the 4th International Conference on Ambient Systems, 2013

2012
On neighborhood tree search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Overlay-Centric Load Balancing: Applications to UTS and B&B.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011
Distributed B&B: A Pure Peer-to-Peer Approach.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

DAMS: distributed adaptive metaheuristic selection.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Sublinear Fully Distributed Partition with Applications.
Theory Comput. Syst., 2010

Distributed Node Coloring in the SINR Model.
Proceedings of the 2010 International Conference on Distributed Computing Systems, 2010

Radio Network Distributed Algorithms in the Unknown Neighborhood Model.
Proceedings of the Distributed Computing and Networking, 11th International Conference, 2010

2009
Local Computation of Nearly Additive Spanners.
Proceedings of the Distributed Computing, 23rd International Symposium, 2009

2008
Fast deterministic distributed algorithms for sparse spanners.
Theor. Comput. Sci., 2008

Local Maps: New Insights into Mobile Agent Algorithms.
Proceedings of the Distributed Computing, 22nd International Symposium, 2008

On the locality of distributed sparse spanner construction.
Proceedings of the Twenty-Seventh Annual ACM Symposium on Principles of Distributed Computing, 2008

Mobile Agents Implementing Local Computations in Graphs.
Proceedings of the Graph Transformations, 4th International Conference, 2008

2007
Deterministic Distributed Construction of Linear Stretch Spanners in Polylogarithmic Time.
Proceedings of the Distributed Computing, 21st International Symposium, 2007

2006
Fast distributed graph partition and application.
Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Efficient Distributed Handshake Using Mobile Agents.
Proceedings of the Distributed Computing and Networking, 8th International Conference, 2006

2005
Distributed Graph Traversals by Relabelling Systems with Applications.
Proceedings of the Workshop on Graph Transformation for Verification and Concurrency, 2005

2003
Distributing the Execution of a Distributed Algorithm over a Network.
Proceedings of the Seventh International Conference on Information Visualization, 2003


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