PristupačnostNa FER-u postoji više zaposlenika s imenom
Automated design of heuristics for the container relocation problem using genetic programming
Novel ensemble collaboration method for dynamic scheduling problems
Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions
Genetic programming for electric vehicle routing problem with soft time windows
Building Heuristics and Ensembles for the Travel Salesman Problem
Solving the Dial-a-Ride Problem Using an Adapted Genetic Algorithm
On the Difficulty of Evolving Permutation Codes
Towards Interpretable Dispatching Rules: Application of Expression Simplification Methods
Introduction to automated design of scheduling heuristics with genetic programming
Constructing Ensembles of Dispatching Rules for Multi- objective Problems
Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey
A comparative study of dispatching rule representations in evolutionary algorithms
Local search based methods for scheduling in the unrelated parallel machines environment
Selection of dispatching rules evolved by genetic programming in dynamic unrelated machines scheduling based on problem characteristics
On the genotype compression and expansion for evolutionary algorithms in the continuous domain
On the Application of ϵ-Lexicase Selection in the Generation of Dispatching Rules
Automatic design of dispatching rules for static scheduling conditions
Designing dispatching rules with genetic programming for the unrelated machines environment with constraints
A comparative study of solution representations for the unrelated machines environment
Comparison of schedule generation schemes for designing dispatching rules with genetic programming in the unrelated machines environment
One property to rule them all? On the limits of trade-offs for S-boxes
A Search for Additional Structure: The Case of Cryptographic S-boxes
Fitness Landscape Analysis of Dimensionally-Aware Genetic Programming Featuring Feynman Equations
Creating dispatching rules by simple ensemble combination
Improving genetic algorithm performance by population initialisation with dispatching rules
Comparison of ensemble learning methods for creating ensembles of dispatching rules for the unrelated machines environment
Evolving dispatching rules for optimising many- objective criteria in the unrelated machines environment
A survey of dispatching rules for the dynamic unrelated machines environment
Automated design of dispatching rules in unrelated machines environment
Adaptive scheduling on unrelated machines with genetic programming
Comparison of solution representations for scheduling in the unrelated machines environment
Optimizacija raspoređivanja u okruženju nesrodnih strojeva
GPU Implementation of a Medical Imaging Data Compression Algorithm
Machine-to-machine communication as key enabler in smart metering systems
Metajezik za opis evolucijskih algoritama
Nastava
Sveučilišni preddiplomski
- Napredno korištenje operacijskog sustava Linux (Nositelj)
- Osnove korištenja operacijskog sustava Linux (Nositelj)
- Interactive Computer Graphics (Predavanja)
- Interaktivna računalna grafika (Predavanja)
- Operacijski sustavi (Predavanja)
- Projekt iz programske potpore (Predavanja)
- Projekt R (Predavanja)
- Završni rad (Predavanja)
- Završni rad (Predavanja)
- Završni rad (Predavanja)
Sveučilišni diplomski
- Analiza i projektiranje računalom (Nositelj)
- Napredno korištenje operacijskog sustava Linux (Nositelj)
- Osnove korištenja operacijskog sustava Linux (Nositelj)
- Diplomski projekt (Predavanja)
- Interaktivna računalna grafika (Predavanja)
- Optimiranje evolucijskim računanjem (Predavanja)
- Seminar 1 (Predavanja)
Poslijediplomski doktorski
- Postupci raspoređivanja (Nositelj)
Kompetencije
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Computational and artificial intelligence
Artificial intelligence Machine learning Computational intelligence Greedy algorithms Evolutionary computation Particle swarm optimization Genetic algorithms Fuzzy logic Artificial neural networks -
Computational and artificial intelligence
Artificial intelligence Machine learning Computational intelligence Greedy algorithms Evolutionary computation Particle swarm optimization Genetic algorithms Fuzzy logic Artificial neural networks