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ORCIDPawel B. Myszkowski
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2020 – today
- 2024
[j10]Michal Antkiewicz
, Pawel B. Myszkowski:
Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints. Inf. Sci. 667: 120400 (2024)- [j9]Michal Antkiewicz, Pawel B. Myszkowski:
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]. Inf. Sci. 670: 120634 (2024) - [c32]Michal Antkiewicz, Pawel B. Myszkowski, Konrad Gmyrek:
Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment Problem. GECCO Companion 2024: 627-630 - [c31]Michal Antkiewicz, Pawel Borys Myszkowski, Konrad Gmyrek, Adam Krzeminski, José Luís Calvo-Rolle:
Efficiency of Specialized Genetic Operators in Non-dominated Tournament Genetic Algorithm (NTGA2) Applied to Multi-objective Multi-skill Resource Constrained Project Scheduling Problem. ICCCI (CCIS Volume 2) 2024: 97-110 - [c30]Konrad Gmyrek, Pawel B. Myszkowski, Michal Antkiewicz, Lukasz P. Olech:
iMOPSE: a Comprehensive Open Source Library for Single- and Multi-objective Metaheuristic Optimization. PPSN (2) 2024: 170-184 - [i2]Michal Antkiewicz, Pawel B. Myszkowski:
Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints. CoRR abs/2410.05701 (2024) - 2023
- [c29]Michal Antkiewicz, Pawel B. Myszkowski:
Population-less Genetic Algorithm? Investigation of Non-dominated Tournament Genetic Algorithm (NTGA2) for multi-objective optimization. FedCSIS (Communication Papers) 2023: 21-28 - [c28]Konrad Gmyrek, Michal Antkiewicz, Pawel B. Myszkowski:
Genetic Algorithm for Planning and Scheduling Problem - StarCraft II Build Order case study. FedCSIS 2023: 131-140 - 2022
- [j8]Pawel B. Myszkowski, Maciej Laszczyk:
Investigation of benchmark dataset for many-objective Multi-Skill Resource Constrained Project Scheduling Problem. Appl. Soft Comput. 127: 109253 (2022) - [c27]Michal Antkiewicz, Pawel B. Myszkowski, Maciej Laszczyk:
GaMeDE2 - improved Gap-based Memetic Differential Evolution applied to multi-modal optimisation. FedCSIS 2022: 291-300 - 2021
- [j7]Pawel B. Myszkowski, Maciej Laszczyk:
Diversity based selection for many-objective evolutionary optimisation problems with constraints. Inf. Sci. 546: 665-700 (2021) - [c26]Maciej Laszczyk, Pawel B. Myszkowski:
A Gap-Based Memetic Differential Evolution (GaMeDE) Applied to Multi-modal Optimisation - Using Multi-objective Optimization Concepts. ACIIDS 2021: 211-223
2010 – 2019
- 2019
- [j6]Maciej Laszczyk, Pawel B. Myszkowski:
Improved selection in evolutionary multi-objective optimization of multi-skill resource-constrained project scheduling problem. Inf. Sci. 481: 412-431 (2019) - [j5]Pawel B. Myszkowski, Maciej Laszczyk, Ivan Nikulin, Marek Skowronski:
iMOPSE: a library for bicriteria optimization in Multi-Skill Resource-Constrained Project Scheduling Problem. Soft Comput. 23(10): 3397-3410 (2019) - [j4]Maciej Laszczyk, Pawel B. Myszkowski:
Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures. Swarm Evol. Comput. 48: 109-133 (2019) - [c25]Maciej Laszczyk, Pawel B. Myszkowski:
A Specialized Evolutionary Approach to the bi-objective Travelling Thief Problem. FedCSIS 2019: 47-56 - [c24]Pawel B. Myszkowski, Maciej Laszczyk, Kamil Dziadek:
Non-dominated Sorting Tournament Genetic Algorithm for Multi-Objective Travelling Salesman Problem. FedCSIS 2019: 67-76 - 2018
- [j3]Pawel B. Myszkowski, Lukasz P. Olech, Maciej Laszczyk, Marek E. Skowronski:
Hybrid Differential Evolution and Greedy Algorithm (DEGR) for solving Multi-Skill Resource-Constrained Project Scheduling Problem. Appl. Soft Comput. 62: 1-14 (2018) - 2017
- [c23]Pawel B. Myszkowski, Maciej Laszczyk, Dawid Kalinowski:
Co-Evolutionary Algorithm solving Multi-Skill Resource-Constrained Project Scheduling Problem. FedCSIS 2017: 75-82 - [c22]Pawel B. Myszkowski, Maciej Laszczyk, Joanna Lichodij:
Efficient selection operators in NSGA-II for Solving Bi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem. FedCSIS 2017: 83-86 - 2016
- [c21]Pawel B. Myszkowski, Jedrzej J. Siemienski:
GRASP Applied to Multi-Skill Resource-Constrained Project Scheduling Problem. ICCCI (1) 2016: 402-411 - [i1]Pawel B. Myszkowski, Marek E. Skowronski, Lukasz P. Olech, Krzysztof Oslizlo:
Hybrid Ant Colony Optimization in solving Multi-Skill Resource-Constrained Project Scheduling Problem. CoRR abs/1603.08538 (2016) - 2015
- [j2]Pawel B. Myszkowski, Marek E. Skowronski, Lukasz P. Olech, Krzysztof Oslizlo:
Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem. Soft Comput. 19(12): 3599-3619 (2015) - [c20]Pawel B. Myszkowski, Michal Przewozniczek, Marek Skowronski:
Constructive heuristics for technology-driven Resource Constrained Scheduling Problem. FedCSIS 2015: 119-127 - [c19]Pawel B. Myszkowski, Marek E. Skowronski, Krzysztof Sikora:
A new benchmark dataset for Multi-Skill Resource-Constrained Project Scheduling Problem. FedCSIS 2015: 129-138 - 2013
- [c18]Marek Skowronski, Pawel B. Myszkowski, Marcin Adamski, Pawel Kwiatek:
Tabu Search approach for Multi-Skill Resource-Constrained Project Scheduling Problem. FedCSIS 2013: 153-158 - [c17]Marek Skowronski, Pawel B. Myszkowski, Lukasz Podlodowski:
Novel heuristic solutions for Multi-Skill Resource-Constrained Project Scheduling Problem. FedCSIS 2013: 159-166 - [p2]Dariusz Konieczny, Maciej Marcinkowski, Pawel B. Myszkowski:
GPGPU Implementation of Evolutionary Algorithm for Images Clustering. Advanced Methods for Computational Collective Intelligence 2013: 229-238 - 2012
- [c16]Lukasz Klyk, Pawel B. Myszkowski, Bartosz Broda, Maciej Piasecki, David Urbansky:
Metaheuristics for Tuning Model Parameters in Two Natural Language Processing Applications. AIMSA 2012: 32-37 - [c15]Roman Pawlikowski, Krzysztof Ociepa, Urszula Markowska-Kaczmar, Pawel B. Myszkowski:
Information Extraction from Geographical Overview Maps. ICCCI (1) 2012: 94-103 - 2011
- [c14]Pawel B. Myszkowski:
Rule Induction Based-On Coevolutionary Algorithms for Image Annotation. ACIIDS (2) 2011: 232-241 - [c13]Pawel B. Myszkowski, Bartlomiej M. Buczek:
Growing Hierarchical Self-Organizing Map for searching documents using visual content. FedCSIS 2011: 77-81 - [c12]Bartlomiej M. Buczek, Pawel B. Myszkowski:
Growing Hierarchical Self-Organizing Map for Images Hierarchical Clustering. ICCCI (1) 2011: 52-61 - 2010
- [c11]Pawel B. Myszkowski:
Coevolutionary Algorithm For Rule Induction. IMCSIT 2010: 73-79 - [c10]Pawel B. Myszkowski, Adam Bicz:
Evolutionary Algorithm in Forex trade strategy generation. IMCSIT 2010: 81-88
2000 – 2009
- 2009
- [c9]Pawel B. Myszkowski, Lukasz Rachwalski:
Trading rule discovery on Warsaw Stock Exchange using revolutionary algorithms. IMCSIT 2009: 81-88 - 2008
- [c8]Marcin Bartoszewski, Halina Kwasnicka, Urszula Markowska-Kaczmar, Pawel B. Myszkowski:
Extraction of Emotional Content from Music Data. CISIM 2008: 293-299 - [c7]Halina Kwasnicka, Dorota Szul, Urszula Markowska-Kaczmar, Pawel B. Myszkowski:
Learning Assistant - Personalizing Learning Paths in e-Learning Environments. CISIM 2008: 308-314 - [c6]Pawel B. Myszkowski, Halina Kwasnicka, Urszula Markowska-Kaczmar:
Data Mining Techniques in e-Learning CelGrid System. CISIM 2008: 315-319 - [p1]Pawel B. Myszkowski:
Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem. Metaheuristics for Scheduling in Industrial and Manufacturing Applications 2008: 145-167 - 2006
- [c5]Pawel B. Myszkowski:
The Change of State Variables in Global Linearization of Non-Linear State Equation. PARELEC 2006: 454-460 - [c4]Robert Piotr Bycul, Pawel B. Myszkowski:
A Computer Aided Global Linearization of a Non-Linear Electric circuit. PARELEC 2006: 461-465 - 2005
- [c3]Pawel B. Myszkowski:
New evolutionary approach to the GCP: a premature convergence and an evolution process character. ISDA 2005: 338-343 - 2004
- [c2]Pawel B. Myszkowski, Halina Kwasnicka:
IBIS: A New Evolutionary Algorithm for Timetable Problem. Intelligent Information Systems 2004: 454-458 - [c1]Andrzej Jordan, Pawel B. Myszkowski, Konrad Radzik:
The Parallel Computations for the Linear State Equations. PARELEC 2004: 143-145 - 2003
- [j1]Pawel B. Myszkowski, Maciej Norberciak:
Evolutionary algorithms for timetable problems. Ann. UMCS Informatica 1(1): 104-112 (2003)
Coauthor Index
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