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Adam P. Piotrowski
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2020 – today
- 2024
- [j23]Adam P. Piotrowski
, Jaroslaw J. Napiorkowski
, Agnieszka E. Piotrowska:
To what extent evolutionary algorithms can benefit from a longer search? Inf. Sci. 654: 119766 (2024) - 2023
- [j22]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
, Agnieszka E. Piotrowska:
How Much Do Swarm Intelligence and Evolutionary Algorithms Improve Over a Classical Heuristic From 1960? IEEE Access 11: 19775-19793 (2023) - [j21]Adam P. Piotrowski
, Jaroslaw J. Napiorkowski
, Agnieszka E. Piotrowska:
Particle Swarm Optimization or Differential Evolution - A comparison. Eng. Appl. Artif. Intell. 121: 106008 (2023) - [j20]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
, Senlin Zhu
:
Novel Air2water Model Variant for Lake Surface Temperature Modeling With Detailed Analysis of Calibration Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 553-569 (2023) - [j19]Adam P. Piotrowski
, Jaroslaw J. Napiorkowski, Agnieszka E. Piotrowska:
Choice of benchmark optimization problems does matter. Swarm Evol. Comput. 83: 101378 (2023) - 2022
- [j18]Adam P. Piotrowski
, Agnieszka E. Piotrowska
:
Differential evolution and particle swarm optimization against COVID-19. Artif. Intell. Rev. 55(3): 2149-2219 (2022) - 2020
- [j17]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
, Agnieszka E. Piotrowska:
Population size in Particle Swarm Optimization. Swarm Evol. Comput. 58: 100718 (2020)
2010 – 2019
- 2018
- [j16]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
:
Some metaheuristics should be simplified. Inf. Sci. 427: 32-62 (2018) - [j15]Adam P. Piotrowski:
Across Neighborhood Search algorithm: A comprehensive analysis. Inf. Sci. 435: 334-381 (2018) - [j14]Adam P. Piotrowski:
L-SHADE optimization algorithms with population-wide inertia. Inf. Sci. 468: 117-141 (2018) - [j13]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
:
Step-by-step improvement of JADE and SHADE-based algorithms: Success or failure? Swarm Evol. Comput. 43: 88-108 (2018) - 2017
- [j12]Adam P. Piotrowski, Maciej J. Napiorkowski, Jaroslaw J. Napiorkowski
, Pawel M. Rowinski
:
Swarm Intelligence and Evolutionary Algorithms: Performance versus speed. Inf. Sci. 384: 34-85 (2017) - [j11]Adam P. Piotrowski:
Review of Differential Evolution population size. Swarm Evol. Comput. 32: 1-24 (2017) - 2016
- [j10]Adam P. Piotrowski, Maciej J. Napiorkowski:
May the same numerical optimizer be used when searching either for the best or for the worst solution to a real-world problem? Inf. Sci. 373: 124-148 (2016) - [j9]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
:
Searching for structural bias in particle swarm optimization and differential evolution algorithms. Swarm Intell. 10(4): 307-353 (2016) - 2015
- [j8]Adam P. Piotrowski:
Regarding the rankings of optimization heuristics based on artificially-constructed benchmark functions. Inf. Sci. 297: 191-201 (2015) - 2014
- [j7]Adam P. Piotrowski:
Differential Evolution algorithms applied to Neural Network training suffer from stagnation. Appl. Soft Comput. 21: 382-406 (2014) - [j6]Adam P. Piotrowski, Marzena Osuch
, Maciej J. Napiorkowski, Pawel M. Rowinski
, Jaroslaw J. Napiorkowski
:
Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river. Comput. Geosci. 64: 136-151 (2014) - [j5]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
, Pawel M. Rowinski
:
How novel is the "novel" black hole optimization approach? Inf. Sci. 267: 191-200 (2014) - 2013
- [j4]Adam P. Piotrowski:
Adaptive Memetic Differential Evolution with Global and Local neighborhood-based mutation operators. Inf. Sci. 241: 164-194 (2013) - 2012
- [j3]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
, Adam Kiczko
:
Differential Evolution algorithm with Separated Groups for multi-dimensional optimization problems. Eur. J. Oper. Res. 216(1): 33-46 (2012) - [j2]Adam P. Piotrowski, Jaroslaw J. Napiorkowski
, Adam Kiczko
:
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. 219(2): 488 (2012) - [j1]Adam P. Piotrowski, Pawel M. Rowinski
, Jaroslaw J. Napiorkowski
:
Comparison of evolutionary computation techniques for noise injected neural network training to estimate longitudinal dispersion coefficients in rivers. Expert Syst. Appl. 39(1): 1354-1361 (2012)
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last updated on 2024-04-24 22:52 CEST by the dblp team
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