KSSK

Empirical problem decomposition — the key to the evolutionary effectiveness in solving a large-scale non-binary discrete real-world problem

Przewozniczek, Michal Witold and Komarnicki, Marcin Michal

Applied Soft Computing, 2021

Fitness Caching - From a Minor Mechanism to Major Consequences in Modern Evolutionary Computation

Przewozniczek, Michal W. and Komarnicki, Marcin M.

2021 IEEE Congress on Evolutionary Computation (CEC), 2021

Multi-Objective parameter-less population pyramid for solving industrial process planning problems

Przewozniczek, Michal Witold and Dziurzanski, Piotr and Zhao, Shuai and Indrusiak, Leandro Soares

Swarm and Evolutionary Computation, 2021

Direct linkage discovery with empirical linkage learning

Przewozniczek, Michal W. and Komarnicki, Marcin M. and Frej, Bartosz

Proceedings of the Genetic and Evolutionary Computation Conference, 2021

Hybrid linkage learning for permutation optimization with Gene-pool optimal mixing evolutionary algorithms

Przewozniczek, Michal W. and Komarnicki, Marcin M. and Bosman, Peter A. N. and Thierens, Dirk and Frej, Bartosz and Luong, Ngoc Hoang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021

Multi-objective parameter-less population pyramid in solving the real-world and theoretical problems

Przewozniczek, Michal W. and Dziurzanski, Piotr and Zhao, Shuai and Indrusiak, Leandro S.

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021

Empirical Linkage Learning

Przewozniczek, Michal Witold and Komarnicki, Marcin Michal

IEEE Transactions on Evolutionary Computation, 2020

Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect

Przewoźniczek, Michał Witold

Information Sciences, 2020

Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving

Przewozniczek, Michal Witold and Datta, Rituparna and Walkowiak, Krzysztof and Komarnicki, Marcin Michal

Expert Systems with Applications, 2020

Comparative mixing for DSMGA-II

Komarnicki, Marcin M. and Przewozniczek, Michal W. and Durda, Tomasz M.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

Empirical linkage learning

Przewozniczek, Michal W. and Komarnicki, Marcin M.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020

Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks

Przewozniczek, Michal Witold and Goścień, Róża and Lechowicz, Piotr and Walkowiak, Krzysztof

Engineering Applications of Artificial Intelligence, 2020

On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems

Przewozniczek, Michal W. and Frej, Bartosz and Komarnicki, Marcin M.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

Parameter-Less Population Pyramid for Permutation-Based Problems

Wozniak, Szymon and Przewozniczek, Michal W. and Komarnicki, Marcin M.

Lecture Notes in Computer Science, 2020

Scalable distributed evolutionary algorithm orchestration using Docker containers

Dziurzanski, Piotr and Zhao, Shuai and Przewozniczek, Michal and Komarnicki, Marcin and Indrusiak, Leandro Soares

Journal of Computational Science, 2020

Universal strategy of dynamic subpopulation number management in practical network optimization problems

Przewoźniczek, Michał Witold and Goścień, Róża

Applied Soft Computing, 2019

The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application

Przewoźniczek, Michał Witold and Walkowiak, Krzysztof and Sen, Arunabha and Komarnicki, Marcin and Lechowicz, Piotr

Information Sciences, 2019

Cloud-Based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands

Zhao, Shuai and Mei, Haitao and Dziurzanski, Piotr and Przewozniczek, Michal and Indrusiak, Leandro Soares

Lecture Notes in Computer Science, 2019

Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories

Zhao, Shuai and Dziurzanski, Piotr and Przewozniczek, Michal and Komarnicki, Marcin and Indrusiak, Leandro Soares

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Parameter-less population pyramid with automatic feedback

Zielinski, Adam M. and Komarnicki, Marcin M. and Przewozniczek, Michal W.

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Parameter-less, population-sizing DSMGA-II

Komarnicki, Marcin M. and Przewozniczek, Michal W.

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

The influence of fitness caching on modern evolutionary methods and fair computation load measurement

Przewozniczek, Michal W. and Komarnicki, Marcin M.

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

The Practical Use of Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals

Przewoźniczek, Michał and Komarnicki, Marcin

Annals of Computer Science and Information Systems, 2018

The evolutionary cost of Baldwin effect in the routing and spectrum allocation problem in elastic optical networks

Przewozniczek, Michal Witold and Walkowiak, Krzysztof and Aibin, Michal

Applied Soft Computing, 2017

Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals

Przewozniczek, Michal Witold

2017 IEEE Congress on Evolutionary Computation (CEC), 2017

The Effectiveness of the Simplicity in Evolutionary Computation

Przewozniczek, Michal Witold and Walkowiak, Krzysztof and Aibin, Michal

Lecture Notes in Computer Science, 2017

Active Multi-Population Pattern Searching Algorithm for flow optimization in computer networks – The novel coevolution schema combined with linkage learning

Przewozniczek, Michal

Information Sciences, 2016

Dynamic Subpopulation Number Control for Solving Routing and Spectrum Allocation Problems in Elastic Optical Networks

Przewozniczek, Michal

2016 Third European Network Intelligence Conference (ENIC), 2016

Linked Genes Migration in Island Models

Komarnicki, Marcin and Przewozniczek, Michal

Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Constructive heuristics for technology-driven Resource Constrained Scheduling Problem

Myszkowski, Paweł B. and Przewoźniczek, Michał and Skowroński, Marek

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Multi Population Pattern Searching Algorithm for Solving Routing Spectrum Allocation with Joint Unicast and Anycast Problem in Elastic Optical Networks

Przewozniczek, Michal

Lecture Notes in Computer Science, 2015

Towards Finding an Effective Uniform and Single Point Crossover Balance for Optimization of Elastic Optical Networks

Przewozniczek, Michal

2015 Second European Network Intelligence Conference, 2015

Towards Finding an Effective Way of Discrete Problems Solving: The Particle Swarm Optimization, Genetic Algorithm and Linkage Learning Techniques Hybrydization

Andrzej Fidrysiak, Bartosz and Przewozniczek, Michal

Proceedings of the 7th International Joint Conference on Computational Intelligence, 2015

Towards solving practical problems of large solution space using a novel pattern searching hybrid evolutionary algorithm – An elastic optical network optimization case study

Przewoźniczek, Michał and Goścień, Róża and Walkowiak, Krzysztof and Klinkowski, Mirosław

Expert Systems with Applications, 2015