Michal Witold Przewozniczek

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Global Optimization

Evolutionary Computation

Industrial Process

Distinguishing Features

Top Venues

GECCO Companion

GECCO (Companion)

Publications

Marcin Michal Komarnicki, Michal Witold Przewozniczek, Renato Tinós, Xiaodong Li
Overlapping Cooperative Co-Evolution for Overlapping Large-Scale Global Optimization Problems. GECCO (2024)
Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
The hop-like problem nature - unveiling and modelling new features of real-world problems. CoRR (2024)
Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley, Francisco Chicano
Iterated Local Search with Linkage Learning. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak
Incremental Recursive Ranking Grouping for Large-Scale Global Optimization. IEEE Trans. Evol. Comput. 27 (5) (2023)
Michal Witold Przewozniczek, Renato Tinós, Marcin Michal Komarnicki
First Improvement Hill Climber with Linkage Learning - on Introducing Dark Gray-Box Optimization into Statistical Linkage Learning Genetic Algorithms. GECCO (2023)
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka, Krzysztof Walkowiak
Incremental Recursive Ranking Grouping - A Decomposition Strategy for Additively and Nonadditively Separable Problems. GECCO Companion (2023)
Michal Witold Przewozniczek, Marcin Michal Komarnicki
To slide or not to slide? Moving along fitness levels and preserving the gene subsets diversity in modern evolutionary computation. GECCO (2023)
Renato Tinós, Michal Witold Przewozniczek, Darrell Whitley
Iterated local search with perturbation based on variables interaction for pseudo-boolean optimization. GECCO (2022)
Michal Witold Przewozniczek, Renato Tinós, Bartosz Frej, Marcin M. Komarnicki
On turning black - into dark gray-optimization with the direct empirical linkage discovery and partition crossover. GECCO (2022)
Michal Witold Przewozniczek, Marcin M. Komarnicki
Empirical linkage learning for non-binary discrete search spaces in the optimization of a large-scale real-world problem. GECCO Companion (2022)
Marcin Michal Komarnicki, Michal Witold Przewozniczek, Halina Kwasnicka
Incremental Recursive Ranking Grouping for Large Scale Global Optimization. CoRR (2022)
Michal Witold Przewozniczek, Marcin Michal Komarnicki, Bartosz Frej
Direct linkage discovery with empirical linkage learning. GECCO (2021)
Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems. GECCO Companion (2021)
Michal Witold Przewozniczek, Marcin M. Komarnicki, Peter A. N. Bosman, Dirk Thierens, Bartosz Frej, Ngoc Hoang Luong
Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms. GECCO Companion (2021)
Michal Witold Przewozniczek, Marcin M. Komarnicki
Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation. CEC (2021)
Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
Multi-Objective parameter-less population pyramid for solving industrial process planning problems. Swarm Evol. Comput. 60 (2021)
Michal Witold Przewozniczek, Marcin Michal Komarnicki
Empirical problem decomposition - the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem. Appl. Soft Comput. 113 (Part) (2021)
Michal Witold Przewozniczek, Rituparna Datta, Krzysztof Walkowiak, Marcin Michal Komarnicki
Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving. Expert Syst. Appl. 145 (2020)
Michal Witold Przewozniczek, Marcin M. Komarnicki
Empirical linkage learning. GECCO Companion (2020)
Michal Witold Przewozniczek, Piotr Dziurzanski, Shuai Zhao, Leandro Soares Indrusiak
Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems. CoRR (2020)
Marcin M. Komarnicki, Michal Witold Przewozniczek, Tomasz M. Durda
Comparative mixing for DSMGA-II. GECCO (2020)
Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki
On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems. GECCO (2020)
Michal Witold Przewozniczek, Róza Goscien, Piotr Lechowicz, Krzysztof Walkowiak
Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks. Eng. Appl. Artif. Intell. 95 (2020)
Michal Witold Przewozniczek, Marcin Michal Komarnicki
Empirical Linkage Learning. IEEE Trans. Evol. Comput. 24 (6) (2020)
Michal Witold Przewozniczek
Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect. Inf. Sci. 521 (2020)
Marcin M. Komarnicki, Michal Witold Przewozniczek
Parameter-less, population-sizing DSMGA-II. GECCO (Companion) (2019)
Adam M. Zielinski, Marcin M. Komarnicki, Michal Witold Przewozniczek
Parameter-less population pyramid with automatic feedback. GECCO (Companion) (2019)
Michal Witold Przewozniczek, Róza Goscien
Universal strategy of dynamic subpopulation number management in practical network optimization problems. Appl. Soft Comput. 82 (2019)
Michal Witold Przewozniczek, Krzysztof Walkowiak, Arunabha Sen, Marcin Komarnicki, Piotr Lechowicz
The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application. Inf. Sci. 479 (2019)
Michal Witold Przewozniczek, Marcin M. Komarnicki
The influence of fitness caching on modern evolutionary methods and fair computation load measurement. GECCO (Companion) (2018)
Michal Witold Przewozniczek
Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals. CEC (2017)
Michal Witold Przewozniczek, Krzysztof Walkowiak, Michal Aibin
The Effectiveness of the Simplicity in Evolutionary Computation. ACIIDS (2) (2017)
Marcin M. Komarnicki, Michal Witold Przewozniczek
Parameter-less population pyramid with feedback. GECCO (Companion) (2017)
Michal Witold Przewozniczek, Krzysztof Walkowiak, Michal Aibin
The evolutionary cost of Baldwin effect in the routing and spectrum allocation problem in elastic optical networks. Appl. Soft Comput. 52 (2017)