Marko Durasevic

Orcid: 0000-0001-8732-4769

Affiliations:
  • University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia


According to our database1, Marko Durasevic authored at least 65 papers between 2016 and 2024.

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Bibliography

2024
Automated design of relocation rules for minimising energy consumption in the container relocation problem.
Expert Syst. Appl., March, 2024

Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment.
Axioms, January, 2024

Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups.
Appl. Soft Comput., January, 2024

A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes.
CoRR, 2024

Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments.
Algorithms, 2024

Finding Near-Optimal Portfolios with Quality-Diversity.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

A New Angle: On Evolving Rotation Symmetric Boolean Functions.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Leveraging More of Biology in Evolutionary Reinforcement Learning.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Look into the Mirror: Evolving Self-dual Bent Boolean Functions.
Proceedings of the Genetic Programming - 27th European Conference, 2024

2023
Evolving ensembles of heuristics for the travelling salesman problem.
Nat. Comput., December, 2023

A survey of metaheuristic algorithms for the design of cryptographic Boolean functions.
Cryptogr. Commun., December, 2023

Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment.
Swarm Evol. Comput., July, 2023

Ensembles of priority rules to solve one machine scheduling problem in real-time.
Inf. Sci., July, 2023

Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming.
Algorithms, June, 2023

Evolving scheduling heuristics with genetic programming for optimization of quality of service in weakly hard real-time systems.
Appl. Soft Comput., April, 2023

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey.
Artif. Intell. Rev., April, 2023

Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment.
Integr. Comput. Aided Eng., 2023

Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment.
Eng. Appl. Artif. Intell., 2023

Corrigendum to "Automated design of heuristics for the container relocation problem using genetic programming", [Appl. Soft Comput. 130 (2022) 109696].
Appl. Soft Comput., 2023

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis.
IEEE Access, 2023

An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems.
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.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

An analysis of training models to evolve heuristics for the travelling salesman problem.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Modeling Strong Physically Unclonable Functions with Metaheuristics.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules.
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.
J. Comput. Sci., 2022

Local search based methods for scheduling in the unrelated parallel machines environment.
Expert Syst. Appl., 2022

Modeling Strong Physically Unclonable Functions with Metaheuristics.
CoRR, 2022

Automated design of heuristics for the container relocation problem using genetic programming.
Appl. Soft Comput., 2022

A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment.
IEEE Access, 2022

Building Heuristics and Ensembles for the Travel Salesman Problem.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Constructing Ensembles of Dispatching Rules for Multi-objective Problems.
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.
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.
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.
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.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

On the Difficulty of Evolving Permutation Codes.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

Evolutionary Construction of Perfectly Balanced Boolean Functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Automatic design of dispatching rules for static scheduling conditions.
Neural Comput. Appl., 2021

Designing dispatching rules with genetic programming for the unrelated machines environment with constraints.
Expert Syst. Appl., 2021

Automated Design of Heuristics for the Container Relocation Problem.
CoRR, 2021

Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey.
CoRR, 2021

Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

On the genotype compression and expansion for evolutionary algorithms in the continuous domain.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
A comparative study of solution representations for the unrelated machines environment.
Comput. Oper. Res., 2020

Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment.
Appl. Soft Comput., 2020

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Search for Additional Structure: The Case of Cryptographic S-boxes.
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.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Creating dispatching rules by simple ensemble combination.
J. Heuristics, 2019

Improving genetic algorithm performance by population initialisation with dispatching rules.
Comput. Ind. Eng., 2019

2018
Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment.
Genet. Program. Evolvable Mach., 2018

Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment.
Genet. Program. Evolvable Mach., 2018

A survey of dispatching rules for the dynamic unrelated machines environment.
Expert Syst. Appl., 2018


2016
Adaptive scheduling on unrelated machines with genetic programming.
Appl. Soft Comput., 2016

Comparison of solution representations for scheduling in the unrelated machines environment.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016


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