Application of Particle Swarm Optimization Algorithm to Neural Network Training Process in the Localization of the Mobile Terminal. - Jan Karwowski; Michal Okulewicz; Jaroslaw Legierski (EANN (1), 2013)

Application of Particle Swarm Optimization Algorithm to Dynamic Vehicle Routing Problem. - Michal Okulewicz; Jacek Mandziuk (ICAISC (2), 2013)

Two-phase multi-swarm PSO and the dynamic vehicle routing problem. - Michal Okulewicz; Jacek Mandziuk (CIHLI, 2014)

Finding an Optimal Team. - Michal Okulewicz (FedCSIS (Position Papers), 2016)

Indoor Localization of a Moving Mobile Terminal by an Enhanced Particle Filter Method. - Michal Okulewicz; Dominika Bodzon; Marek Kozak; Michal Piwowarski; Patryk Tenderenda (ICAISC (2), 2016)

Indoor Localisation Based on GSM Signals: Multistorey Building Study. - Rafal Górak; Marcin Luckner; Michal Okulewicz; Joanna Porter-Sobieraj; Piotr Wawrzyniak (Mob. Inf. Syst., 2016)

2-Dimensional rectangles-in-circles packing and stock cutting with particle swarm optimization. - Michal Okulewicz (SSCI, 2017)

The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem. - Michal Okulewicz; Jacek Mandziuk (Appl. Soft Comput., 2017)

Generalized Self-adapting Particle Swarm Optimization Algorithm. - Mateusz Ulinski; Adam Zychowski; Michal Okulewicz; Mateusz Zaborski; Hubert Kordulewski (PPSN (1), 2018)

Bringing Together Project Simulation and Psychometric Tests: A Business Game Proposal. - Michal Okulewicz; Weronika Aniper; Bartlomiej Dach; Piotr Filarski; Piotr Jenczyk; Julita Oltusek (CoRR, 2018)

A metaheuristic approach to solve Dynamic Vehicle Routing Problem in continuous search space. - Michal Okulewicz; Jacek Mandziuk (Swarm Evol. Comput., 2019)

Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples. - Michal Okulewicz; Mateusz Zaborski; Jacek Mandziuk (CoRR, 2020)

A Particle Swarm Optimization hyper-heuristic for the Dynamic Vehicle Routing Problem. - Michal Okulewicz; Jacek Mandziuk (CoRR, 2020)

Dynamic Vehicle Routing Problem: A Monte Carlo approach. - Michal Okulewicz; Jacek Mandziuk (CoRR, 2020)

Benchmarking SHADE algorithm enhanced with model based optimization on the BBOB noiseless testbed. - Michal Okulewicz; Mateusz Zaborski (GECCO Companion, 2021)

Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results. - Andrzej Janusz; Antoni Jamiolkowski; Michal Okulewicz (FedCSIS, 2022)

Self-Adapting Particle Swarm Optimization for continuous black box optimization. - Michal Okulewicz; Mateusz Zaborski; Jacek Mandziuk (Appl. Soft Comput., 2022)

Hybrid Approach to the Cost Estimation of External-Fleet Full Truckload Contracts. - Szymon Cyperski; Pawel D. Domanski; Michal Okulewicz (Algorithms, 2023)