Evolutionary algorithms for timetable problems. - Pawel B. Myszkowski; Maciej Norberciak (Ann. UMCS Informatica, 2003)

IBIS: A New Evolutionary Algorithm for Timetable Problem. - Pawel B. Myszkowski; Halina Kwasnicka (Intelligent Information Systems, 2004)

The Parallel Computations for the Linear State Equations. - Andrzej Jordan; Pawel B. Myszkowski; Konrad Radzik (PARELEC, 2004)

New evolutionary approach to the GCP: a premature convergence and an evolution process character. - Pawel B. Myszkowski (ISDA, 2005)

A Computer Aided Global Linearization of a Non-Linear Electric circuit. - Robert Piotr Bycul; Pawel B. Myszkowski (PARELEC, 2006)

The Change of State Variables in Global Linearization of Non-Linear State Equation. - Pawel B. Myszkowski (PARELEC, 2006)

Extraction of Emotional Content from Music Data. - Marcin Bartoszewski; Halina Kwasnicka; Urszula Markowska-Kaczmar; Pawel B. Myszkowski (CISIM, 2008)

Learning Assistant - Personalizing Learning Paths in e-Learning Environments. - Halina Kwasnicka; Dorota Szul; Urszula Markowska-Kaczmar; Pawel B. Myszkowski (CISIM, 2008)

Data Mining Techniques in e-Learning CelGrid System. - Pawel B. Myszkowski; Halina Kwasnicka; Urszula Markowska-Kaczmar (CISIM, 2008)

Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem. - Pawel B. Myszkowski (Metaheuristics for Scheduling in Industrial and Manufacturing Applications, 2008)

Trading rule discovery on Warsaw Stock Exchange using revolutionary algorithms. - Pawel B. Myszkowski; Lukasz Rachwalski (IMCSIT, 2009)

Coevolutionary Algorithm For Rule Induction. - Pawel B. Myszkowski (IMCSIT, 2010)

Evolutionary Algorithm in Forex trade strategy generation. - Pawel B. Myszkowski; Adam Bicz (IMCSIT, 2010)

Rule Induction Based-On Coevolutionary Algorithms for Image Annotation. - Pawel B. Myszkowski (ACIIDS (2), 2011)

Growing Hierarchical Self-Organizing Map for searching documents using visual content. - Pawel B. Myszkowski; Bartlomiej M. Buczek (FedCSIS, 2011)

Growing Hierarchical Self-Organizing Map for Images Hierarchical Clustering. - Bartlomiej M. Buczek; Pawel B. Myszkowski (ICCCI (1), 2011)

Metaheuristics for Tuning Model Parameters in Two Natural Language Processing Applications. - Lukasz Klyk; Pawel B. Myszkowski; Bartosz Broda; Maciej Piasecki; David Urbansky (AIMSA, 2012)

Information Extraction from Geographical Overview Maps. - Roman Pawlikowski; Krzysztof Ociepa; Urszula Markowska-Kaczmar; Pawel B. Myszkowski (ICCCI (1), 2012)

Tabu Search approach for Multi-Skill Resource-Constrained Project Scheduling Problem. - Marek Skowronski; Pawel B. Myszkowski; Marcin Adamski; Pawel Kwiatek (FedCSIS, 2013)

Novel heuristic solutions for Multi-Skill Resource-Constrained Project Scheduling Problem. - Marek Skowronski; Pawel B. Myszkowski; Lukasz Podlodowski (FedCSIS, 2013)

GPGPU Implementation of Evolutionary Algorithm for Images Clustering. - Dariusz Konieczny; Maciej Marcinkowski; Pawel B. Myszkowski (Advanced Methods for Computational Collective Intelligence, 2013)

Constructive heuristics for technology-driven Resource Constrained Scheduling Problem. - Pawel B. Myszkowski; Michal Przewozniczek; Marek Skowronski (FedCSIS, 2015)

A new benchmark dataset for Multi-Skill Resource-Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Marek E. Skowronski; Krzysztof Sikora (FedCSIS, 2015)

Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem. - Pawel B. Myszkowski; Marek E. Skowronski; Lukasz P. Olech; Krzysztof Oslizlo (Soft Comput., 2015)

GRASP Applied to Multi-Skill Resource-Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Jedrzej J. Siemienski (ICCCI (1), 2016)

Co-Evolutionary Algorithm solving Multi-Skill Resource-Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Maciej Laszczyk; Dawid Kalinowski (FedCSIS, 2017)

Efficient selection operators in NSGA-II for Solving Bi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Maciej Laszczyk; Joanna Lichodij (FedCSIS, 2017)

Hybrid Differential Evolution and Greedy Algorithm (DEGR) for solving Multi-Skill Resource-Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Lukasz P. Olech; Maciej Laszczyk; Marek E. Skowronski (Appl. Soft Comput., 2018)

A Specialized Evolutionary Approach to the bi-objective Travelling Thief Problem. - Maciej Laszczyk; Pawel B. Myszkowski (FedCSIS, 2019)

Non-dominated Sorting Tournament Genetic Algorithm for Multi-Objective Travelling Salesman Problem. - Pawel B. Myszkowski; Maciej Laszczyk; Kamil Dziadek (FedCSIS, 2019)

Improved selection in evolutionary multi-objective optimization of multi-skill resource-constrained project scheduling problem. - Maciej Laszczyk; Pawel B. Myszkowski (Inf. Sci., 2019)

iMOPSE: a library for bicriteria optimization in Multi-Skill Resource-Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Maciej Laszczyk; Ivan Nikulin; Marek Skowronski (Soft Comput., 2019)

Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures. - Maciej Laszczyk; Pawel B. Myszkowski (Swarm Evol. Comput., 2019)

A Gap-Based Memetic Differential Evolution (GaMeDE) Applied to Multi-modal Optimisation - Using Multi-objective Optimization Concepts. - Maciej Laszczyk; Pawel B. Myszkowski (ACIIDS, 2021)

Diversity based selection for many-objective evolutionary optimisation problems with constraints. - Pawel B. Myszkowski; Maciej Laszczyk (Inf. Sci., 2021)

GaMeDE2 - improved Gap-based Memetic Differential Evolution applied to multi-modal optimisation. - Michal Antkiewicz; Pawel B. Myszkowski; Maciej Laszczyk (FedCSIS, 2022)

Investigation of benchmark dataset for many-objective Multi-Skill Resource Constrained Project Scheduling Problem. - Pawel B. Myszkowski; Maciej Laszczyk (Appl. Soft Comput., 2022)

Population-less Genetic Algorithm? Investigation of Non-dominated Tournament Genetic Algorithm (NTGA2) for multi-objective optimization. - Michal Antkiewicz; Pawel B. Myszkowski (FedCSIS (Communication Papers), 2023)

Genetic Algorithm for Planning and Scheduling Problem - StarCraft II Build Order case study. - Konrad Gmyrek; Michal Antkiewicz; Pawel B. Myszkowski (FedCSIS, 2023)

Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment Problem. - Michal Antkiewicz; Pawel B. Myszkowski; Konrad Gmyrek (GECCO Companion, 2024)

Efficiency of Specialized Genetic Operators in Non-dominated Tournament Genetic Algorithm (NTGA2) Applied to Multi-objective Multi-skill Resource Constrained Project Scheduling Problem. - Michal Antkiewicz; Pawel Borys Myszkowski; Konrad Gmyrek; Adam Krzeminski; José Luís Calvo-Rolle (ICCCI (CCIS Volume 2), 2024)

iMOPSE: a Comprehensive Open Source Library for Single- and Multi-objective Metaheuristic Optimization. - Konrad Gmyrek; Pawel B. Myszkowski; Michal Antkiewicz; Lukasz P. Olech (PPSN (2), 2024)

Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints. - Michal Antkiewicz; Pawel B. Myszkowski (Inf. Sci., 2024)

Corrigendum to "Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints" [Inform. Sci., 667 (2024) 120400]. - Michal Antkiewicz; Pawel B. Myszkowski (Inf. Sci., 2024)