Jaroslaw J. Napiorkowski

19 papers Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Experimental survey of L-SHADE and SHADE-based adaptive differential evolution algorithms.
Swarm Evol. Comput.
Adam P. Piotrowski, Agnieszka E. Piotrowska, Jaroslaw J. Napiorkowski
2025 J jnl
Metaheuristics should be tested on large benchmark set with various numbers of function evaluations.
Swarm Evol. Comput.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2024 J jnl
To what extent evolutionary algorithms can benefit from a longer search?
Inf. Sci.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2023 J jnl
Choice of benchmark optimization problems does matter.
Swarm Evol. Comput.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2023 J jnl
How Much Do Swarm Intelligence and Evolutionary Algorithms Improve Over a Classical Heuristic From 1960?
IEEE Access
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2023 J jnl
Novel Air2water Model Variant for Lake Surface Temperature Modeling With Detailed Analysis of Calibration Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Senlin Zhu
2023 J jnl
Particle Swarm Optimization or Differential Evolution - A comparison.
Eng. Appl. Artif. Intell.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2020 J jnl
Population size in Particle Swarm Optimization.
Swarm Evol. Comput.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska
2018 J jnl
Some metaheuristics should be simplified.
Inf. Sci.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski
2018 J jnl
Step-by-step improvement of JADE and SHADE-based algorithms: Success or failure?
Swarm Evol. Comput.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski
2017 J jnl
Swarm Intelligence and Evolutionary Algorithms: Performance versus speed.
Inf. Sci.
Adam P. Piotrowski, Maciej J. Napiorkowski, Jaroslaw J. Napiorkowski, Pawel M. Rowinski
2016 J jnl
Searching for structural bias in particle swarm optimization and differential evolution algorithms.
Swarm Intell.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski
2014 J jnl
Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river.
Comput. Geosci.
Adam P. Piotrowski, Marzena Osuch, Maciej J. Napiorkowski, Pawel M. Rowinski, Jaroslaw J. Napiorkowski
2014 J jnl
How novel is the "novel" black hole optimization approach?
Inf. Sci.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Pawel M. Rowinski
2012 J jnl
Comparison of evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers.
Expert Syst. Appl.
Adam P. Piotrowski, Pawel M. Rowinski, Jaroslaw J. Napiorkowski
2012 J jnl
Corrigendum to: "Differential evolution algorithm with separated groups for multi-dimensional optimization problems" [Eur. J. Oper. Res. 216 (2012) 33-46].
Eur. J. Oper. Res.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Adam Kiczko
2012 J jnl
Differential Evolution algorithm with Separated Groups for multi-dimensional optimization problems.
Eur. J. Oper. Res.
Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Adam Kiczko
2007 — conf
A Study of Flow Conditions Aimed at Preserving Valuable Wetland Areas in the Upper Narew Valley Using GSA-GLUE Methodology.
EnviroInfo (1)
Adam Kiczko, Renata J. Romanowicz, Jaroslaw J. Napiorkowski
2007 — conf
Dispersion Processes in Wetlands - Application of Data Based Mechanistic and Transient Storage Models.
EnviroInfo (1)
Marzena Osuch, Renata J. Romanowicz, Jaroslaw J. Napiorkowski