Author

A. Piotrowski

Observed names: A Piotrowski, A. P. Piotrowski, ADAM PIOTROWSKI, Adam P. Piotrowski, Adam Piotrowski, Piotrowski, A., Piotrowski, Adam, Piotrowski, Adam P.

Institutions: Institute of Geophysics Polish Academy of Sciences, Polish Academy of Sciences

Observed institutions: École Normale Supérieure Paris-Saclay, Wrocław University of Science and Technology, Lodz University of Technology, Military University of Technology in Warsaw, University of Łódź, Solaris Bus & Coach (Poland), Institute of Geophysics Polish Academy of Sciences, Vigo System (Poland), Université Gustave Eiffel, Laboratoire Techniques, Territoires et Sociétés, Polish Academy of Sciences

ORCID: 0000-0003-0923-7314

Observed ORCID: 0000-0003-0923-7314

OpenAlex ID: A5080762162

Population size in Particle Swarm Optimization

2020 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski, et al. · Swarm and Evolutionary Computation · 358

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A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling

2012 · Adam P. Piotrowski, Jarosław J. Napiorkowski · Journal of Hydrology · 257

Review of Differential Evolution population size

2016 · Adam P. Piotrowski · Swarm and Evolutionary Computation · 235

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Particle Swarm Optimization or Differential Evolution—A comparison

2023 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski, et al. · Engineering Applications of Artificial Intelligence · 152

Comparing various artificial neural network types for water temperature prediction in rivers

2015 · Adam P. Piotrowski, Maciej J. Napiorkowski, et al. · Journal of Hydrology · 133

Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects

2024 · S. Piccolroaz, S. Zhu, et al. · Reviews of Geophysics · 128

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L-SHADE optimization algorithms with population-wide inertia

2018 · Adam P. Piotrowski · Information Sciences · 118

Swarm Intelligence and Evolutionary Algorithms: Performance versus speed

2016 · Adam P. Piotrowski, Maciej J. Napiorkowski, et al. · Information Sciences · 115

Simultaneous operation of two soft x-ray free-electron lasers driven by one linear accelerator

2016 · B Faatz, E Plönjes, et al. · New Journal of Physics · 113

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Optimizing neural networks for river flow forecasting – Evolutionary Computation methods versus the Levenberg–Marquardt approach

2011 · Adam P. Piotrowski, Jarosław J. Napiorkowski · Journal of Hydrology · 113

Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators

2013 · Adam P. Piotrowski · Information Sciences · 100

Differential Evolution algorithms applied to Neural Network training suffer from stagnation

2014 · Adam P. Piotrowski · Applied Soft Computing · 98

River/stream water temperature forecasting using artificial intelligence models: a systematic review

2020 · Senlin Zhu, Adam P. Piotrowski · Acta Geophysica · 86

How novel is the “novel” black hole optimization approach?

2014 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski, et al. · Information Sciences · 84

Step-by-step improvement of JADE and SHADE-based algorithms: Success or failure?

2018 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski · Swarm and Evolutionary Computation · 83

Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling

2019 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski, et al. · Earth-Science Reviews · 81

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Some metaheuristics should be simplified

2017 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski · Information Sciences · 72

Progress in MOCVD growth of HgCdTe heterostructures for uncooled infrared photodetectors

2006 · A. Piotrowski, P. Madejczyk, et al. · Infrared Physics & Technology · 64

Differential Evolution algorithm with Separated Groups for multi-dimensional optimization problems

2011 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski, et al. · European Journal of Operational Research · 59

Influence of the choice of stream temperature model on the projections of water temperature in rivers

2021 · Adam P. Piotrowski, Marzena Osuch, et al. · Journal of Hydrology · 52

Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river

2014 · Adam P. Piotrowski, Marzena Osuch, et al. · Computers & Geosciences · 48

Simple modifications of the nonlinear regression stream temperature model for daily data

2019 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski · Journal of Hydrology · 47

Regarding the rankings of optimization heuristics based on artificially-constructed benchmark functions

2014 · Adam P. Piotrowski · Information Sciences · 46

Performance of the air2stream model that relates air and stream water temperatures depends on the calibration method

2018 · Adam P. Piotrowski, Jaroslaw J. Napiorkowski · Journal of Hydrology · 42

Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models?

2016 · Adam P. Piotrowski, Maciej J. Napiorkowski, et al. · Hydrological Sciences Journal · 42

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Works count: 183

Citation count: 3,983

H-index: 29

I10-index: 71