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- Arash Hariri, Keivan Navi, Reza Rastegar
- Computers & Mathematics with Applications
- 2008

The Residue Number System (RNS) is a representation system which provides fast and parallel arithmetic. It has a wide application in digital signal processing and provides enhanced fault toleranceâ€¦ (More)

- Reza Rastegar, Arash Hariri, M. Mazoochi
- 17th IEEE International Conference on Tools withâ€¦
- 2005

Here we propose a convergence proof for the population based incremental learning (PBIL). In our approach, first, we model the PBIL by the Markov process and approximate its behavior using Ordinaryâ€¦ (More)

- Reza Rastegar, Arash Hariri
- Evolutionary Computation
- 2006

The compact Genetic Algorithm (cGA) is an Estimation of Distribution Algorithm that generates offspring population according to the estimated probabilistic model of the parent population instead ofâ€¦ (More)

- Reza Rastegar, M. R. Meybodi
- IEEE Conference on Cybernetics and Intelligentâ€¦
- 2004

In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This new model is a combination of a model called cellular learning automata (CLA) and the evolutionary model. In thisâ€¦ (More)

- Arash Hariri, Kaivan Navi, Reza Rastegar
- EUROCON 2005 - The International Conference onâ€¦
- 2005

Residue number system (RNS) is a valuable tool for fast and parallel arithmetic and has a variety of applications in digital signal processing, fault tolerant systems, etc. One of the mostâ€¦ (More)

- Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
- 2004 International Conference on Machine Learningâ€¦
- 2004

The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A population of particleâ€¦ (More)

- Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
- Int. J. Hybrid Intell. Syst.
- 2006

In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary model. In thisâ€¦ (More)

- Reza Rastegar, Arash Hariri
- Neurocomputing
- 2006

Here, we propose a convergence proof for the Population-Based Incremental Learning (PBIL). First, we model the PBIL by a Markov process and approximate its behavior using an Ordinary Differentialâ€¦ (More)

- Reza Rastegar, Mohammad Reza Meybodi
- 2005 IEEE Congress on Evolutionary Computation
- 2005

In this paper we introduce an estimation of distribution algorithm based on a team of learning automata. The proposed algorithm is a model based search optimization method that uses a team ofâ€¦ (More)

- Arka P. Ghosh, Diana Hay, +4 authors Jiyeon Suh
- 2009

We consider the equation Rn = Qn + MnRnâˆ’1, with random non-i.i.d. coefficients (Qn, Mn)nâˆˆZ âˆˆ R, and show that the distribution tails of the stationary solution to this equation are regularly varyingâ€¦ (More)