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Institution

Amirkabir University of Technology

EducationTehran, Iran
About: Amirkabir University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Fuzzy logic. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.


Papers
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Journal ArticleDOI
01 Jan 2016
TL;DR: Experimental results indicate that the proposed model greatly improves the PSO performance in terms of the solution quality as well as convergence speed in static and dynamic environments.
Abstract: This paper presents "A novel adaptive inertia weight with stability condition for particle swarm optimization (SAIW)". This approach determines the inertia weight in different dimensions for each particle on: (1) its performance and (2) distance from its best position, and by considering the stability condition, the acceleration parameters of PSO are adaptively determined. Presents an adaptive method for finding inertia weight in different dimensions for each particle.The success of the particle and displacement in particle's best position are used as the feedback.Stability analysis of proposed model indicates that its performance is usually optimal.The results clearly show the superiority of the proposed model over the existing methods. Particle swarm optimization (PSO) is a stochastic population-based algorithm motivated by intelligent collective behavior of birds. The performance of the PSO algorithm highly depends on choosing appropriate parameters. Inertia weight is a parameter of this algorithm which was first proposed by Shi and Eberhart to bring about a balance between the exploration and exploitation characteristics of PSO. This paper presents an adaptive approach which determines the inertia weight in different dimensions for each particle, based on its performance and distance from its best position. Each particle will then have different roles in different dimensions of the search environment. By considering the stability condition and an adaptive inertia weight, the acceleration parameters of PSO are adaptively determined. The corresponding approach is called stability-based adaptive inertia weight (SAIW). The proposed method and some other models for adjusting the inertia weight are evaluated and compared. The efficiency of SAIW is validated on 22 static test problems, moving peaks benchmarks (MPB) and a real-world problem for a radar system design. Experimental results indicate that the proposed model greatly improves the PSO performance in terms of the solution quality as well as convergence speed in static and dynamic environments.

252 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the most recent advances on fullerenes in biomedical applications that have not been exhaustively and critically reviewed in the past few years can be found in this paper, where a broad interest to the biomedical engineering community is discussed.

251 citations

Journal ArticleDOI
TL;DR: A new function for the similarity of the generated pattern and the training image, based on a cross-correlation (CC) function, is proposed that can be used with both categorical and continuous training images, and the performance of CCSIM is tested.
Abstract: An important issue in reservoir modeling is accurate generation of complex structures. The problem is difficult because the connectivity of the flow paths must be preserved. Multiple-point geostatistics is one of the most effective methods that can model the spatial patterns of geological structures, which is based on an informative geological training image that contains the variability, connectivity, and structural properties of a reservoir. Several pixel- and pattern-based methods have been developed in the past. In particular, pattern-based algorithms have become popular due to their ability for honoring the connectivity and geological features of a reservoir. But a shortcoming of such methods is that they require a massive data base, which make them highly memory- and CPU-intensive. In this paper, we propose a novel methodology for which there is no need to construct pattern data base and small data event. A new function for the similarity of the generated pattern and the training image, based on a cross-correlation (CC) function, is proposed that can be used with both categorical and continuous training images. We combine the CC function with an overlap strategy and a new approach, adaptive recursive template splitting along a raster path, in order to develop an algorithm, which we call cross-correlation simulation (CCSIM), for generation of the realizations of a reservoir with accurate conditioning and continuity. The performance of CCSIM is tested for a variety of training images. The results, when compared with those of the previous methods, indicate significant improvement in the CPU and memory requirements.

249 citations

Journal ArticleDOI
TL;DR: In this article, the laminar convective heat transfer of an alumina-water nanofluid flow inside a wide rectangular microchannel heat sink (94.3mm, 28.1mm and 580μm; length, width and height, respectively) both numerically and experimentally was studied.

249 citations

Journal ArticleDOI
TL;DR: The proposed topology is based on a cascaded connection of single-phase submultilevel converter units and full-bridge converters and is optimized in order to utilize a minimum number of switches and dc voltage sources and produce a high number of output voltage steps.
Abstract: In this paper, a new topology of a cascaded multilevel converter is proposed. The proposed topology is based on a cascaded connection of single-phase submultilevel converter units and full-bridge converters. Compared to the conventional multilevel converter, the number of dc voltage sources, switches, installation area, and converter cost is significantly reduced as the number of voltage steps increases. In order to calculate the magnitudes of the required dc voltage sources, three methods are proposed. Then, the structure of the proposed topology is optimized in order to utilize a minimum number of switches and dc voltage sources, and produce a high number of output voltage steps. The operation and performance of the proposed multilevel converter is verified by simulation results and compared with experimental results of a single-phase 49-level converter, too.

249 citations


Authors

Showing all 15352 results

NameH-indexPapersCitations
Ali Mohammadi106114954596
Mehdi Dehghan8387529225
Morteza Mahmoudi8333426229
Gaurav Sharma82124431482
Vladimir A. Rakov6745914918
Mohammad Reza Ganjali65103925238
Bahram Ramezanzadeh6235212946
Muhammad Sahimi6248117334
Niyaz Mohammad Mahmoodi6121810080
Amir A. Zadpoor6129411653
Mohammad Hossein Ahmadi6047711659
Goodarz Ahmadi6077817735
Maryam Kavousi5925822009
Keith W. Hipel5854314045
Danial Jahed Armaghani552128400
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202346
2022216
20212,493
20202,359
20192,368
20182,266