GAVaPS-a genetic algorithm with varying population size J Arabas, Z Michalewicz, J Mulawka Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994 | 475 | 1994 |
Wykłady z algorytmów ewolucyjnych J Arabas Wydawnictwa Naukowo-Techniczne, 2004 | 333 | 2004 |
Differential Evolution: A survey of theoretical analyses KR Opara, J Arabas Swarm and evolutionary computation 44, 546-558, 2019 | 99 | 2019 |
Genetic algorithms for the 0/1 knapsack problem Z Michalewicz, J Arabas International Symposium on Methodologies for Intelligent Systems, 134-143, 1994 | 70 | 1994 |
Applying an evolutionary algorithm to telecommunication network design J Arabas, S Kozdrowski IEEE Transactions on Evolutionary Computation 5 (4), 309-322, 2001 | 54 | 2001 |
Experimental comparison of methods to handle boundary constraints in differential evolution J Arabas, A Szczepankiewicz, T Wroniak International Conference on Parallel Problem Solving from Nature, 411-420, 2010 | 43 | 2010 |
Comparison of mutation strategies in differential evolution–a probabilistic perspective K Opara, J Arabas Swarm and Evolutionary Computation 39, 53-69, 2018 | 28 | 2018 |
Radar clutter classification using Kohonen neural network A Jakubiak, J Arabas, K Grabczak, D Radomski, JF Swiderski Radar 97 (Conf. Publ. No. 449), 185-188, 1997 | 20 | 1997 |
La historia en los queros: apuntes acerca de la relación entre las representaciones figurativas y los signos 'tocapus' mariusz ziolkowski, jaroslaw arabas, jan szeminski British Archaeological Records, 2008 | 19 | 2008 |
A new class of the crossover operators for the numerical optimization J Arabas, JJ Mulawka, J Pokrasniewicz Proceedings of the 6th International Conference on Genetic Algorithms, 42-48, 1995 | 17 | 1995 |
Approximating the genetic diversity of populations in the quasi-equilibrium state J Arabas IEEE transactions on evolutionary computation 16 (5), 632-644, 2012 | 16 | 2012 |
Pulverized coal fired boiler optimization and NOx control using neural networks and fuzzy logic J Arabas, L Białobrzeski, L Chomiak, T Domański, K Świrski, ... Proc AspenWorld 97, 1997 | 15 | 1997 |
A differential evolution strategy D Jagodziński, J Arabas 2017 IEEE Congress on Evolutionary Computation (CEC), 1872-1876, 2017 | 14 | 2017 |
Population initialization in the context of a biased, problem-specific mutation J Arabas, S Kozdrowski 1998 IEEE International Conference on Evolutionary Computation Proceedings …, 1998 | 14 | 1998 |
Improving evolutionary algorithms in a continuous domain by monitoring the population midpoint J Arabas, R Biedrzycki IEEE Transactions on Evolutionary Computation 21 (5), 807-812, 2017 | 13 | 2017 |
DMEA—An algorithm that combines differential mutation with the fitness proportionate selection J Arabas, Ł Bartnik, K Opara 2011 IEEE Symposium on Differential Evolution (SDE), 1-8, 2011 | 13 | 2011 |
Differential mutation based on population covariance matrix K Opara, J Arabas International Conference on Parallel Problem Solving from Nature, 114-123, 2010 | 13 | 2010 |
A genetic approach to the Hopfield neural network in the optimization problems J Arabas Bulletin of the Polish Academy of Sciences. Technical sciences 42 (1), 59-66, 1994 | 13 | 1994 |
Benchmarking procedures for continuous optimization algorithms K Opara, J Arabas Journal of Telecommunications and Information Technology, 73-80, 2011 | 12 | 2011 |
Bound constraints handling in Differential Evolution: An experimental study R Biedrzycki, J Arabas, D Jagodziński Swarm and Evolutionary Computation 50, 100453, 2019 | 11 | 2019 |