Marko Durasevic

Mateja Dumic

Appl. Soft Comput., 2023

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2023

An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems.

[BibT_eX]

[DOI]

Jesús Quesada

María R. Sierra

Ramiro Varela

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties.

[BibT_eX]

[DOI]

Bruno Gasperov

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search.

[BibT_eX]

[DOI]

Bruno Gasperov

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

An analysis of training models to evolve heuristics for the travelling salesman problem.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Genetic programming for the vehicle routing problem with zone-based pricing.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Modeling Strong Physically Unclonable Functions with Metaheuristics.

[BibT_eX]

[DOI]

Carlos A. Coello Coello

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules.

[BibT_eX]

[DOI]

Proceedings of the Genetic Programming - 26th European Conference, 2023

2022

Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics.

[BibT_eX]

[DOI]

J. Comput. Sci., 2022

Local search based methods for scheduling in the unrelated parallel machines environment.

[BibT_eX]

[DOI]

Lucija Ulaga

Expert Syst. Appl., 2022

Modeling Strong Physically Unclonable Functions with Metaheuristics.

[BibT_eX]

[DOI]

Carlos A. Coello Coello

CoRR, 2022

Automated design of heuristics for the container relocation problem using genetic programming.

[BibT_eX]

[DOI]

Mateja Dumic

Appl. Soft Comput., 2022

A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment.

[BibT_eX]

[DOI]

IEEE Access, 2022

Building Heuristics and Ensembles for the Travel Salesman Problem.

[BibT_eX]

[DOI]

María R. Sierra

Ramiro Varela

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Constructing Ensembles of Dispatching Rules for Multi-objective Problems.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Genetic programming for electric vehicle routing problem with soft time windows.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Novel ensemble collaboration method for dynamic scheduling problems.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Introduction to automated design of scheduling heuristics with genetic programming.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evolving constructions for balanced, highly nonlinear boolean functions.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

On the Difficulty of Evolving Permutation Codes.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Evolutionary Construction of Perfectly Balanced Boolean Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Automatic design of dispatching rules for static scheduling conditions.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Designing dispatching rules with genetic programming for the unrelated machines environment with constraints.

[BibT_eX]

[DOI]

Kristijan Jaklinovic

Expert Syst. Appl., 2021

Automated Design of Heuristics for the Container Relocation Problem.

[BibT_eX]

[DOI]

Mateja Dumic

CoRR, 2021

Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

On the genotype compression and expansion for evolutionary algorithms in the continuous domain.

[BibT_eX]

[DOI]

Carlos A. Coello Coello

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

A comparative study of solution representations for the unrelated machines environment.

[BibT_eX]

[DOI]

Ivan Vlasic

Comput. Oper. Res., 2020

Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations.

[BibT_eX]

[DOI]

Marcella Scoczynski Ribeiro Martins

Stjepan Picek

Markus Wagner

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Search for Additional Structure: The Case of Cryptographic S-boxes.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

One property to rule them all?: on the limits of trade-offs for S-boxes.

[BibT_eX]

[DOI]

Marko Djurasevic

Stjepan Picek

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Creating dispatching rules by simple ensemble combination.

[BibT_eX]

[DOI]

J. Heuristics, 2019

Improving genetic algorithm performance by population initialisation with dispatching rules.

[BibT_eX]

[DOI]

Ivan Vlasic

Comput. Ind. Eng., 2019

2018

Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2018

Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment.

[BibT_eX]

[DOI]

Genet. Program. Evolvable Mach., 2018

A survey of dispatching rules for the dynamic unrelated machines environment.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Tutorials at PPSN 2018.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2016

Adaptive scheduling on unrelated machines with genetic programming.

[BibT_eX]

[DOI]

Karlo Knezevic

Appl. Soft Comput., 2016

Comparison of solution representations for scheduling in the unrelated machines environment.

[BibT_eX]

[DOI]