Search Results for author: Marko Đurasević

Found 7 papers, 0 papers with code

Finding Near-Optimal Portfolios With Quality-Diversity

no code implementations25 Feb 2024 Bruno Gašperov, Marko Đurasević, Domagoj Jakobovic

In this paper, we present a novel approach for finding a diverse set of such portfolios based on quality-diversity (QD) optimization.

Portfolio Optimization

Automated design of relocation rules for minimising energy consumption in the container relocation problem

no code implementations4 Jul 2023 Marko Đurasević, Mateja Đumić, Rebeka Čorić, Francisco Javier Gil-Gala

Relocation rules (RRs), which consist of a priority function and relocation scheme, are heuristics commonly used for solving the mentioned problem due to their flexibility and efficiency.

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search

no code implementations16 Jun 2023 Bruno Gašperov, Marko Đurasević

Finally, a novel definition of evolvability that takes into account the evolvability of offspring and is appropriate for use with discretized behavior spaces is proposed, together with a Markov-chain-based estimation method for it.

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

no code implementations15 Jun 2023 Bruno Gašperov, Marko Đurasević, Domagoj Jakobović

In the context of the underlying problem, the phenotypes are represented by Walsh-Hadamard spectra of the candidate solutions (Boolean functions).

Novel ensemble collaboration method for dynamic scheduling problems

no code implementations27 Mar 2022 Marko Đurasević, Lucija Planinić, Francisco Javier Gil Gala, Domagoj Jakobović

In this method, DRs are applied independently at each decision point to create a simulation of the schedule for all currently released jobs.

Scheduling

Building the Building Blocks: From Simplification to Winning Trees in Genetic Programming

no code implementations29 Sep 2021 Lucija Planinić, Marko Đurasević, Stjepan Picek, Domagoj Jakobovic

The winning trees can be used to initialize the population for the new GP run and result in improved convergence and fitness, provided some conditions on the size of solutions and winning trees are fulfilled.

Symbolic Regression

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

no code implementations27 Jul 2021 Marko Đurasević, Domagoj Jakobović

The unrelated parallel machines scheduling problem (UPMSP), which is only one of the many different problem types that exist, found its application in many areas like production industries or distributed computing.

Distributed Computing Scheduling

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