Marcin Komarnicki

Orcid: 0000-0002-3008-9320

According to our database1, Marcin Komarnicki authored at least 27 papers between 2016 and 2024.

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Bibliography

2024
The hop-like problem nature - unveiling and modelling new features of real-world problems.
CoRR, 2024

Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization.
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
Incremental Recursive Ranking Grouping for Large Scale Global Optimization.
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

Direct linkage discovery with empirical linkage learning.
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
Empirical Linkage Learning.
IEEE Trans. Evol. Comput., 2020

Scalable distributed evolutionary algorithm orchestration using Docker containers.
J. Comput. Sci., 2020

Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving.
Expert Syst. Appl., 2020

Parameter-Less Population Pyramid for Permutation-Based Problems.
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

Comparative mixing for DSMGA-II.
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

Parameter-less population pyramid with automatic feedback.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Parameter-less, population-sizing DSMGA-II.
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
Parameter-less population pyramid with feedback.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Linked Genes Migration in Island Models.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016


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