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 & 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 published on a yearly basis
Papers
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TL;DR: An optimized design of microgrid in distribution systems with multiple distributed generation units under different market policies such as pool/hybrid electricity market and an objective function to maximize total net present worth (NPW) is presented.
135 citations
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TL;DR: In this article, the effects of nanofluid concentrations and different cross-sections of tube on thermal performance of horizontal spiral-coil in laminar fluid flow are investigated numerically.
134 citations
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TL;DR: In this paper, a combinatorial process based on reconfiguration and DSTATCOM allocation is implemented to mitigate losses and improve voltage profile in power distribution networks, where differential evolution algorithm (DEA) has been used to solve and overcome the complicity of this combinatorsial nonlinear optimization problem.
134 citations
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TL;DR: Results indicate that LSSVM approach has the best performance and the proposed model by this approach has R-squared value equals to 1.
134 citations
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TL;DR: This paper addresses some meta-heuristics to find the best sequence of inbound and outbound trucks, so that the objective, minimizing the total operation time called makespan, can be satisfied and it can be shown that the suitability of these meta- heuristics is quite sensible especially for the cross-docking systems with large sizes.
Abstract: Cross-docking is an approach in inventory management which can reduce inventories, lead times and customer response time. In this strategy, products and shipments are unloaded from inbound trucks, sorted and categorized based on their characteristics, moved and loaded onto outbound trucks for delivery to demand points in a distribution network. The important fact is that, the items are stored in the inventory for a period which is primarily less than the actual time allocated to keep these items in a typical warehouse. Therefore, total cost and space requirement for inventory can be cut down. One of the most important targets in such systems is to establish coordination between the performance of inbound and outbound trucks in that these trucks can be scheduled, and the product items can be allocated to trucks effectively. This paper addresses some meta-heuristics to find the best sequence of inbound and outbound trucks, so that the objective, minimizing the total operation time called makespan, can be satisfied. Furthermore, not only the efficiency and capability of the algorithms' parameters are assessed and analyzed by some performance measures, but also these meta-heuristics are compared with each other in order to find out the set of homogeneous algorithms among all proposed algorithms. By this analysis, it can be shown that the suitability of these meta-heuristics is quite sensible especially for the cross-docking systems with large sizes in which a high volume of inbound or outbound trucks transmit the product items.
134 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 |