Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Naveed Kazim Khan"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
In this paper we present a new Discrete Particle Swarm Optimization approach to induce rules from discrete data. The proposed algorithm, called Opposition-based Natural Discrete PSO (ONDPSO), initializes its population by taking into account the disc
Externí odkaz:
https://doaj.org/article/e1423bffb41d4d7db4f088c83484e1d0
Publikováno v:
Knowledge and Information Systems. 39:703-737
A probabilistic opposition-based Particle Swarm Optimization algorithm with Velocity Clamping and inertia weights (OvcPSO) is designed for function optimization--to accelerate the convergence speed and to optimize solution's accuracy on standard benc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19f4060993f8cf6ca1281f209dc734eb
https://doi.org/10.1007/s10115-013-0624-z
https://doi.org/10.1007/s10115-013-0624-z
Publikováno v:
2010 5th International Conference on Future Information Technology.
In this paper we have presented a new Discrete Particle Swarm Optimization approach to induce rules from the discrete data. Particles are encoded using Natural Encoding scheme. Encoding scheme and position update rule used by the algorithm allows ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9131760ff6478ce90b80818cb0f5e514
https://doi.org/10.1109/futuretech.2010.5482723
https://doi.org/10.1109/futuretech.2010.5482723
Publikováno v:
2010 International Conference on Information Science and Applications.
In this paper we have presented a new Discrete Particle Swarm Optimization approach to induce rules from the discrete data. The proposed algorithm initializes its population by taking into account the discrete nature of the data. It assigns different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c8ed2847745ac2e182bc63c059fc302
https://doi.org/10.1109/icisa.2010.5480366
https://doi.org/10.1109/icisa.2010.5480366
Publikováno v:
2010 International Conference on Information Science and Applications.
Evolutionary algorithms (EA) have been used in data classification and data clustering task since the advent of these algorithms. Nonlinear complex optimization problems have been the area of interest since very long time. The EA have been applied su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61950d48eda41b8b9a62c99419da21b
https://doi.org/10.1109/icisa.2010.5480382
https://doi.org/10.1109/icisa.2010.5480382
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
International Journal of Advanced Robotic Systems
International Journal of Advanced Robotic Systems
In this paper we present a new Discrete Particle Swarm Optimization approach to induce rules from discrete data. The proposed algorithm, called Opposition-based Natural Discrete PSO (ONDPSO), initializes its population by taking into account the disc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e33d6913db10235195207f0bc165a7c3
https://doi.org/10.5772/51728
https://doi.org/10.5772/51728
Autor:
Muthiah, A.1 amuthiah68@gmail.com, Rajkumar, R.2
Publikováno v:
Mechanika. 2017, Vol. 23 Issue 4, p610-616. 7p. 4 Diagrams, 3 Charts, 1 Graph.
Publikováno v:
Knowledge & Information Systems; Jun2014, Vol. 39 Issue 3, p703-737, 35p
Autor:
Altaf Q. H. Badar
This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems.The text presents each evolutionary optimization algorithm along with its history and other working eq
