4 citations · 9 across the 9 of their papers we have counts for
7 papers · 1 filter
Trilevel Memetic Algorithm for the Electric Vehicle Routing Problem
Ivan Milinović, Leon Stjepan Uroić, Marko Đurasević
The Electric Vehicle Routing Problem (EVRP) extends the capacitated vehicle routing problem by incorporating battery constraints and charging stations, posing significant optimizat…
Digging Deeper: Operator Analysis for Optimizing Nonlinearity of Boolean Functions
Marko Djurasevic, Domagoj Jakobovic, Luca Mariot +1
Boolean functions are mathematical objects with numerous applications in domains like coding theory, cryptography, and telecommunications. Finding Boolean functions with specific p…
Novel ensemble collaboration method for dynamic scheduling problems
Marko Đurasević, Lucija Planinić, Francisco Javier Gil Gala +1
Dynamic scheduling problems are important optimisation problems with many real-world applications. Since in dynamic scheduling not all information is available at the start, such p…
Modeling Strong Physically Unclonable Functions with Metaheuristics
Carlos Coello Coello, Marko Djurasevic, Domagoj Jakobovic +2
Evolutionary algorithms have been successfully applied to attacking Physically Unclonable Functions (PUFs). CMA-ES is recognized as the most powerful option for a type of attack ca…
Automated Design of Heuristics for the Container Relocation Problem
Mrko Đurasević, Mateja Đumić
The container relocation problem is a challenging combinatorial optimisation problem tasked with finding a sequence of container relocations required to retrieve all containers by…
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey
Marko Đurasević, Domagoj Jakobović
Today scheduling problems have an immense effect on various areas of human lives, be it from their application in manufacturing and production industry, transportation, or workforc…
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
Marko Durasevic, Domagoj Jakobovic, Marcella Scoczynski Ribeiro Martins +2
Genetic programming is an often-used technique for symbolic regression: finding symbolic expressions that match data from an unknown function. To make the symbolic regression more…