Adam P. Piotrowski

According to our database, Adam P. Piotrowski authored at least 23 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

To what extent evolutionary algorithms can benefit from a longer search?

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska

Inf. Sci., January, 2024

2023

Choice of benchmark optimization problems does matter.

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska

Swarm Evol. Comput., December, 2023

Particle Swarm Optimization or Differential Evolution - A comparison.

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska

Eng. Appl. Artif. Intell., May, 2023

Novel Air2water Model Variant for Lake Surface Temperature Modeling With Detailed Analysis of Calibration Methods.

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Senlin Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

How Much Do Swarm Intelligence and Evolutionary Algorithms Improve Over a Classical Heuristic From 1960?

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska

IEEE Access, 2023

2022

Differential evolution and particle swarm optimization against COVID-19.

Adam P. Piotrowski, Agnieszka E. Piotrowska

Artif. Intell. Rev., 2022

2020

Population size in Particle Swarm Optimization.

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska

Swarm Evol. Comput., 2020

2018

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

Adam P. Piotrowski, Jaroslaw J. Napiorkowski

Swarm Evol. Comput., 2018

Some metaheuristics should be simplified.

Adam P. Piotrowski, Jaroslaw J. Napiorkowski

Inf. Sci., 2018

L-SHADE optimization algorithms with population-wide inertia.

Adam P. Piotrowski

Inf. Sci., 2018

Across Neighborhood Search algorithm: A comprehensive analysis.

Adam P. Piotrowski

Inf. Sci., 2018

2017

Review of Differential Evolution population size.

Adam P. Piotrowski

Swarm Evol. Comput., 2017

Swarm Intelligence and Evolutionary Algorithms: Performance versus speed.

Adam P. Piotrowski, Maciej J. Napiorkowski, Jaroslaw J. Napiorkowski, Pawel M. Rowinski

Inf. Sci., 2017

2016

Searching for structural bias in particle swarm optimization and differential evolution algorithms.

Adam P. Piotrowski, Jaroslaw J. Napiorkowski

Swarm Intell., 2016

May the same numerical optimizer be used when searching either for the best or for the worst solution to a real-world problem?

Adam P. Piotrowski, Maciej J. Napiorkowski

Inf. Sci., 2016

2015

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

Adam P. Piotrowski

Inf. Sci., 2015

2014

How novel is the "novel" black hole optimization approach?

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Pawel M. Rowinski

Inf. Sci., 2014

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

Adam P. Piotrowski, Marzena Osuch, Maciej J. Napiorkowski, Pawel M. Rowinski, Jaroslaw J. Napiorkowski

Comput. Geosci., 2014

Differential Evolution algorithms applied to Neural Network training suffer from stagnation.

Adam P. Piotrowski

Appl. Soft Comput., 2014

2013

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

Adam P. Piotrowski

Inf. Sci., 2013

2012

Comparison of evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers.

Adam P. Piotrowski, Pawel M. Rowinski, Jaroslaw J. Napiorkowski

Expert Syst. Appl., 2012

Corrigendum to: "Differential evolution algorithm with separated groups for multi-dimensional optimization problems" [Eur. J. Oper. Res. 216 (2012) 33-46].

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Adam Kiczko

Eur. J. Oper. Res., 2012

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

Adam P. Piotrowski, Jaroslaw J. Napiorkowski, Adam Kiczko

Eur. J. Oper. Res., 2012