Institution
Amirkabir University of Technology
Education•Tehran, 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 & Finite element method. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.
Topics: Nonlinear system, Finite element method, Fuzzy logic, Artificial neural network, Nanocomposite
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, the effect of partial or full block placement along the flow channels of PEM fuel cells is numerically studied, and the results show that the case of full blockage enhances the net electrical power more than that of the partial blockage, in spite of higher pressure drop.
146 citations
••
01 Oct 2017TL;DR: The proposed approach mimics the lightning attachment procedure including the downward leader movement, the upward leader propagation, the unpredictable trajectory of lightning downward leader, and the branch fading feature of lightning.
Abstract: Display Omitted In this paper a novel meta-heuristic optimization algorithm known as lightning LAPO is proposed.The purposed method is free from any parameter tuning.Two phase solution updating in each iteration increase the balancing of exploration and exploitation. In this article, A novel nature-inspired optimization algorithm known as Lightning Attachment Procedure Optimization (LAPO) is proposed. The proposed approach mimics the lightning attachment procedure including the downward leader movement, the upward leader propagation, the unpredictable trajectory of lightning downward leader, and the branch fading feature of lightning. Final optimum result would be the lightning striking point. The proposed method is free from any parameter tuning and it is rarely stuck in the local optimum points. To evaluate the proposed algorithm, 29 mathematical benchmark functions are employed and the results are compared to those of 9 high quality well-known optimization methods The results of the proposed method are compared from different points of views, including quality of the results, convergence behavior, robustness, and CPU time consumption. Superiority and high quality performance of the proposed method are demonstrated through comparing the results. Moreover, the proposed method is also tested by five classical engineering design problems including tension/compression spring, welded beam, pressure vessel designs, Gear train design, and Cantilever beam design and a high constraint optimization problem known as Optimal Power Flow (OPF) which is a high constraint electrical engineering problem. The excellence performance of the proposed method in solving the problems with large number of constraints and also discrete optimization problems are also concluded from the results of the six engineering problem.
146 citations
••
TL;DR: The obtained data showed that introducing small amount MMT-CuO to chitosan films could enhance the mechanical, antibacterial properties, and decreased both water solubility and UV transition with the lowest effect on the transparency of the films.
146 citations
••
TL;DR: The approximate solutions obtained by means of LHPM in a wide range of the problem's domain were compared with those results obtained from the actual solutions, the Homotopy Perturbation Method (HPM) and the finite element method and shows a precise agreement between the results.
145 citations
••
TL;DR: Four multi-objective optimization methods are compared to find the Pareto-optimal front in the flexible job-shop problem case and results are compared carefully.
Abstract: Research highlights? Integrated flexible job-shop and preventive maintenance is probed in this study. ? Makespan as an objective for production part and reliability as an objective for maintenance part are optimized simultaneously. ? A mathematic model and a solving method are introduced in this paper and results are compared carefully. This paper investigates integrated flexible job shop problem (FJSP) with preventive maintenance (PM) activities under the multi-objective optimization approaches. Finding compromise solutions between the production objectives and maintenance ones is under consideration. In order to carry out the maintenance activities, reliability models are employed. This paper attempts to simultaneously optimize two objectives: the minimization of the makespan for the production part and the minimization of the system unavailability for the maintenance part. For doing it so, two decisions are taken at the same time: finding the appropriate assignment of n jobs on m machines in order to minimize the makespan and deciding when to execute the PM activities in order to minimize the system unavailability. Both the maintenance activity numbers and maintenance intervals are not fixed in advance. Four multi-objective optimization methods are compared to find the Pareto-optimal front in the flexible job-shop problem case. Promising the obtained results, a benchmark with a large number of test instances (more than 4800) and meticulous care is employed.
145 citations
Authors
Showing all 15352 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ali Mohammadi | 106 | 1149 | 54596 |
Mehdi Dehghan | 83 | 875 | 29225 |
Morteza Mahmoudi | 83 | 334 | 26229 |
Gaurav Sharma | 82 | 1244 | 31482 |
Vladimir A. Rakov | 67 | 459 | 14918 |
Mohammad Reza Ganjali | 65 | 1039 | 25238 |
Bahram Ramezanzadeh | 62 | 352 | 12946 |
Muhammad Sahimi | 62 | 481 | 17334 |
Niyaz Mohammad Mahmoodi | 61 | 218 | 10080 |
Amir A. Zadpoor | 61 | 294 | 11653 |
Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
Goodarz Ahmadi | 60 | 778 | 17735 |
Maryam Kavousi | 59 | 258 | 22009 |
Keith W. Hipel | 58 | 543 | 14045 |
Danial Jahed Armaghani | 55 | 212 | 8400 |