Marcin Komarnicki
Orcid: 0000-0002-3008-9320
According to our database1,
Marcin Komarnicki
authored at least 25 papers
between 2016 and 2023.
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Bibliography
2023
IEEE Trans. Evol. Comput., October, 2023
First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
CoRR, 2022
On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Empirical problem decomposition - the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem.
Appl. Soft Comput., 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
J. Comput. Sci., 2020
Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving.
Expert Syst. Appl., 2020
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application.
Inf. Sci., 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
The influence of fitness caching on modern evolutionary methods and fair computation load measurement.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
The Practical Use of Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals.
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, 2018
2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016