Comparison of solution representations for scheduling in the unrelated machines environment. - Marko Durasevic; Domagoj Jakobovic (MIPRO, 2016)

Adaptive scheduling on unrelated machines with genetic programming. - Marko Durasevic; Domagoj Jakobovic; Karlo Knezevic (Appl. Soft Comput., 2016)

Tutorials at PPSN 2018. - Gisele Lobo Pappa; Michael T. M. Emmerich; Ana L. C. Bazzan; Will N. Browne; Kalyanmoy Deb; Carola Doerr; Marko Durasevic; Michael G. Epitropakis; Saemundur O. Haraldsson; Domagoj Jakobovic; Pascal Kerschke; Krzysztof Krawiec; et al. (PPSN (2), 2018)

A survey of dispatching rules for the dynamic unrelated machines environment. - Marko Durasevic; Domagoj Jakobovic (Expert Syst. Appl., 2018)

Evolving dispatching rules for optimising many-objective criteria in the unrelated machines environment. - Marko Durasevic; Domagoj Jakobovic (Genet. Program. Evolvable Mach., 2018)

Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment. - Marko Durasevic; Domagoj Jakobovic (Genet. Program. Evolvable Mach., 2018)

Improving genetic algorithm performance by population initialisation with dispatching rules. - Ivan Vlasic; Marko Durasevic; Domagoj Jakobovic (Comput. Ind. Eng., 2019)

Creating dispatching rules by simple ensemble combination. - Marko Durasevic; Domagoj Jakobovic (J. Heuristics, 2019)

One property to rule them all?: on the limits of trade-offs for S-boxes. - Marko Djurasevic; Domagoj Jakobovic; Stjepan Picek (GECCO, 2020)

A Search for Additional Structure: The Case of Cryptographic S-boxes. - Claude Carlet; Marko Djurasevic; Domagoj Jakobovic; Stjepan Picek (PPSN (2), 2020)

Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations. - Marko Durasevic; Domagoj Jakobovic; Marcella Scoczynski Ribeiro Martins; Stjepan Picek; Markus Wagner 007 (PPSN (2), 2020)

Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment. - Marko Durasevic; Domagoj Jakobovic (Appl. Soft Comput., 2020)

A comparative study of solution representations for the unrelated machines environment. - Ivan Vlasic; Marko Durasevic; Domagoj Jakobovic (Comput. Oper. Res., 2020)

Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm. - Stjepan Zelic; Marko Durasevic; Domagoj Jakobovic; Lucija Planinic (AI*IA, 2021)

On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules. - Lucija Planinic; Marko Durasevic; Domagoj Jakobovic (CEC, 2021)

On the genotype compression and expansion for evolutionary algorithms in the continuous domain. - Lucija Planinic; Marko Djurasevic; Luca Mariot; Domagoj Jakobovic; Stjepan Picek; Carlos A. Coello Coello (GECCO Companion, 2021)

Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods. - Lucija Planinic; Marko Durasevic; Domagoj Jakobovic (SSCI, 2021)

Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey. - Marko Durasevic; Domagoj Jakobovic (CoRR, 2021)

Automated Design of Heuristics for the Container Relocation Problem. - Marko Durasevic; Mateja Dumic (CoRR, 2021)

Designing dispatching rules with genetic programming for the unrelated machines environment with constraints. - Kristijan Jaklinovic; Marko Durasevic; Domagoj Jakobovic (Expert Syst. Appl., 2021)

Automatic design of dispatching rules for static scheduling conditions. - Marko Durasevic; Domagoj Jakobovic (Neural Comput. Appl., 2021)

Evolutionary Construction of Perfectly Balanced Boolean Functions. - Luca Mariot; Stjepan Picek; Domagoj Jakobovic; Marko Djurasevic; Alberto Leporati (CEC, 2022)

On the Difficulty of Evolving Permutation Codes. - Luca Mariot; Stjepan Picek; Domagoj Jakobovic; Marko Djurasevic; Alberto Leporati (EvoApplications, 2022)

Evolving constructions for balanced, highly nonlinear boolean functions. - Claude Carlet; Marko Djurasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (GECCO, 2022)

Introduction to automated design of scheduling heuristics with genetic programming. - Marko Durasevic; Domagoj Jakobovic; Yi Mei 001; Su Nguyen; Mengjie Zhang 001 (GECCO Companion, 2022)

Novel ensemble collaboration method for dynamic scheduling problems. - Marko Durasevic; Lucija Planinic; Francisco Javier Gil Gala; Domagoj Jakobovic (GECCO, 2022)

Genetic programming for electric vehicle routing problem with soft time windows. - Francisco Javier Gil Gala; Marko Durasevic; Domagoj Jakobovic (GECCO Companion, 2022)

Constructing Ensembles of Dispatching Rules for Multi-objective Problems. - Marko Durasevic; Lucija Planinic; Francisco Javier Gil Gala; Domagoj Jakobovic (IWINAC (1), 2022)

Building Heuristics and Ensembles for the Travel Salesman Problem. - Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (IWINAC (1), 2022)

A Comparative Study of Dispatching Rule Representations in Evolutionary Algorithms for the Dynamic Unrelated Machines Environment. - Lucija Planinic; Hrvoje Backovic; Marko Durasevic; Domagoj Jakobovic (IEEE Access, 2022)

Automated design of heuristics for the container relocation problem using genetic programming. - Marko Durasevic; Mateja Dumic (Appl. Soft Comput., 2022)

Modeling Strong Physically Unclonable Functions with Metaheuristics. - Carlos A. Coello Coello; Marko Djurasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (CoRR, 2022)

Local search based methods for scheduling in the unrelated parallel machines environment. - Lucija Ulaga; Marko Durasevic; Domagoj Jakobovic (Expert Syst. Appl., 2022)

Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics. - Marko Durasevic; Domagoj Jakobovic (J. Comput. Sci., 2022)

To Bias or Not to Bias: Probabilistic Initialisation for Evolving Dispatching Rules. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (EuroGP, 2023)

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes. - Marko Durasevic; Domagoj Jakobovic; Luca Mariot; Sihem Mesnager; Stjepan Picek (EvoApplications@EvoStar, 2023)

Modeling Strong Physically Unclonable Functions with Metaheuristics. - Carlos A. Coello Coello; Marko Durasevic; Domagoj Jakobovic; Marina Krcek; Luca Mariot; Stjepan Picek (GECCO Companion, 2023)

Divide and conquer: Using single objective dispatching rules to improve convergence for multi-objective optimisation. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (GECCO, 2023)

Does size matter? On the influence of ensemble size on constructing ensembles of dispatching rules. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (GECCO Companion, 2023)

Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions. - Marko Durasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (GECCO Companion, 2023)

Genetic programming for the vehicle routing problem with zone-based pricing. - Francisco Javier Gil Gala; Sezin Afsar; Marko Durasevic; Juan José Palacios 001; Murat Afsar (GECCO, 2023)

An analysis of training models to evolve heuristics for the travelling salesman problem. - Francisco Javier Gil Gala; Marko Durasevic; Mateja Dumic; Rebeka Coric; Domagoj Jakobovic (GECCO Companion, 2023)

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search. - Bruno Gasperov; Marko Durasevic (GECCO, 2023)

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties. - Bruno Gasperov; Marko Durasevic; Domagoj Jakobovic (GECCO Companion, 2023)

An analysis of heuristic templates in Genetic Programming for one-dimensional cutting and packing problems. - Jesús Quesada; Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (GECCO Companion, 2023)

NeuroSCA: Evolving Activation Functions for Side-Channel Analysis. - Karlo Knezevic; Juraj Fulir; Domagoj Jakobovic; Stjepan Picek; Marko Ðurasevic (IEEE Access, 2023)

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

Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment. - Marko Durasevic; Francisco Javier Gil Gala; Lucija Planinic; Domagoj Jakobovic (Eng. Appl. Artif. Intell., 2023)

Constructing ensembles of dispatching rules for multi-objective tasks in the unrelated machines environment. - Marko Djurasevic; Francisco Javier Gil Gala; Domagoj Jakobovic (Integr. Comput. Aided Eng., 2023)

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey. - Marko Durasevic; Domagoj Jakobovic (Artif. Intell. Rev., 2023)

Evolving scheduling heuristics with genetic programming for optimization of quality of service in weakly hard real-time systems. - Karla Salamun; Ivan Pavic; Hrvoje Dzapo; Marko Durasevic (Appl. Soft Comput., 2023)

Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming. - Domagoj Jakobovic; Marko Durasevic; Karla Brkic; Juraj Fosin; Tonci Caric; Davor Davidovic (Algorithms, 2023)

Ensembles of priority rules to solve one machine scheduling problem in real-time. - Francisco Javier Gil Gala; Marko Durasevic; Ramiro Varela; Domagoj Jakobovic (Inf. Sci., 2023)

Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. - Marko Durasevic; Francisco Javier Gil Gala; Domagoj Jakobovic; Carlos A. Coello Coello (Swarm Evol. Comput., 2023)

A survey of metaheuristic algorithms for the design of cryptographic Boolean functions. - Marko Djurasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (Cryptogr. Commun., 2023)

Evolving ensembles of heuristics for the travelling salesman problem. - Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (Nat. Comput., 2023)

Designing Relocation Rules with Genetic Programming for the Online Container Relocation Problem. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala (CEC, 2024)

Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem. - Marko Ðurasevic; Mateja Ðumic; Francisco Javier Gil Gala (CEC, 2024)

Look into the Mirror: Evolving Self-dual Bent Boolean Functions. - Claude Carlet; Marko Durasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (EuroGP, 2024)

Leveraging More of Biology in Evolutionary Reinforcement Learning. - Bruno Gasperov; Marko Durasevic; Domagoj Jakobovic (EvoApplications@EvoStar, 2024)

A New Angle: On Evolving Rotation Symmetric Boolean Functions. - Claude Carlet; Marko Durasevic; Bruno Gasperov; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (EvoApplications@EvoStar, 2024)

Finding Near-Optimal Portfolios with Quality-Diversity. - Bruno Gasperov; Marko Durasevic; Domagoj Jakobovic (EvoApplications@EvoStar, 2024)

On the Evolution of Boolean Functions with the Algebraic Normal Form Representation. - Claude Carlet; Marko Durasevic; Domagoj Jakobovic; Stjepan Picek (GECCO Companion, 2024)

Automated Design of Routing Policies for the Dynamic Electric Vehicle Routing Problem with Genetic Programming. - Marko Durasevic; Francisco Javier Gil Gala (IJCCI, 2024)

Evolutionary Algorithms for Bin Packing Problem with Maximum Lateness and Waste Minimization. - Jesús Quesada; Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (IWINAC (2), 2024)

Application of Evolutionary Optimization in Task Mapping and Scheduling for Heterogeneous Mobile-Edge Computing. - Nikolina Frid; Marko Durasevic (MIPRO, 2024)

Discovering Rotation Symmetric Self-dual Bent Functions with Evolutionary Algorithms. - Claude Carlet; Marko Ðurasevic; Domagoj Jakobovic; Stjepan Picek (PPSN (4), 2024)

Improving the Performance of Relocation Rules for the Container Relocation Problem with the Rollout Algorithm. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala; Nikolina Frid; Domagoj Jakobovic (PPSN (1), 2024)

Assessing the Ability of Genetic Programming for Feature Selection in Constructing Dispatching Rules for Unrelated Machine Environments. - Marko Durasevic; Domagoj Jakobovic; Stjepan Picek; Luca Mariot (Algorithms, 2024)

ECF: A C＋＋ framework for evolutionary computation. - Domagoj Jakobovic; Marko Durasevic; Stjepan Picek; Bruno Gasperov (SoftwareX, 2024)

Designing relocation rules with genetic programming for the container relocation problem with multiple bays and container groups. - Marko Durasevic; Mateja Dumic (Appl. Soft Comput., 2024)

Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment. - Marko Durasevic; Domagoj Jakobovic (Axioms, 2024)

Automated design of relocation rules for minimising energy consumption in the container relocation problem. - Marko Durasevic; Mateja Dumic; Rebeka Coric; Francisco Javier Gil Gala (Expert Syst. Appl., 2024)

Evolving routing policies for electric vehicles by means of genetic programming. - Francisco Javier Gil Gala; Marko Durasevic; Domagoj Jakobovic (Appl. Intell., 2024)

A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes. - Claude Carlet; Marko Durasevic; Domagoj Jakobovic; Stjepan Picek; Luca Mariot (EuroGP, 2025)

Designing Lookahead Relocation Rules for the Container Relocation Problem with Genetic Programming. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala; Domagoj Jakobovic (EuroGP, 2025)

The More the Merrier: On Evolving Five-Valued Spectra Boolean Functions. - Claude Carlet; Marko Durasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (EvoApplications (2), 2025)

Multitask genetic programming for automated design of heuristics for the container relocation problem. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala (Eng. Appl. Artif. Intell., 2025)

Enhancing automatically designed relocation rules with the rollout algorithm. - Marko Durasevic; Mateja Dumic; Francisco Javier Gil Gala (Swarm Evol. Comput., 2025)

Genetic programming with surrogate evaluation for the electric vehicle routing problem. - Francisco Javier Gil Gala; Marko Durasevic; Domagoj Jakobovic; Ramiro Varela (Swarm Evol. Comput., 2025)

Degree is Important: On Evolving Homogeneous Boolean Functions. - Claude Carlet; Marko Ðurasevic; Domagoj Jakobovic; Luca Mariot; Stjepan Picek (CoRR, 2025)

A Systematic Study on the Design of Odd-Sized Highly Nonlinear Boolean Functions via Evolutionary Algorithms. - Claude Carlet; Marko Durasevic; Domagoj Jakobovic; Stjepan Picek; Luca Mariot (CoRR, 2025)

Trilevel Memetic Algorithm for the Electric Vehicle Routing Problem. - Ivan Milinovic; Leon Stjepan Uroic; Marko Durasevic (CoRR, 2025)

Tree search hyper-heuristic with application to combinatorial optimization. - Francisco Javier Gil Gala; Marko Durasevic; María R. Sierra; Ramiro Varela (J. Heuristics, 2025)