جستجوی مقالات مرتبط با کلیدواژه « بهینه سازی ریاضی » در نشریات گروه « فنی و مهندسی »

The problem of allocating space to academic needs is one of the complex optimization issues that distributes a limited set of educational and research needs to a set of resources with a set of constraints. Due to the complexity of this problem, several techniques based on innovative methods have been proposed. In this paper, a mathematical model of integer programming is presented to formulate this problem.

To solve the model, the gradient descent method is used and its parameters are adjusted. To evaluate the proposed model and solution, the data and facilities of one of the fledgling faculties at Allameh Tabatabai University in Tehran are tested. There are 11 requirements and 18 allocable spaces in this faculty and therefore there are 198 binary decision variables, in the model. In experiments, several scenarios are created and the results of each scenario are compared.

The proposed model and solution is a general method and can be used for other faculties and universities that face space constraints.

Originality/Value:

 In this article, a mathematical model was presented to formulate the problem of allocating space, which is one of the important decision-making issues for organizations and research educational institutions.

In this paper, a review has been conducted on integrated design of water network in process industries. First, the concept of water network synthesis has been defined and categorized in the two main groups of (i) Fixed mass load and (ii) fixed flow rate. In order to solve water network synthesis problems, two water pinch and mathematical optimization approaches are being used and the published researches related to each of these approaches are reviewed. In the end, the water consumption network and the limiting pollutants of water reuse in oil refinery are studied and some of the most important researches about solving this problem in oil refinery are presented considering different aspects such as the number of key pollutants, problem description and their solving approach points of view. Some studies reported that Water Pinch Analysis and could reduce water consumption in process significantly.

In recent years, size of VLSI circuits is dramatically grown and layout generation of current circuits has become a dominant task in design flow. Standard cell placement is an effective stage of physical design and quality of placement affects directly on the performance, power consumption and signal immunity of design. Placement can be performed analytically or heuristically. Analytical placers generate optimal or near-optimal solution but they are not usable for large circuits due to large computation time. In contrast, Heuristic placers can be used to place large circuits with more poor quality rather than analytical ones. In this paper, a hybrid analytical and heuristic approach for standard-cell placement is proposed. In this approach, cell rows are arranged heuristically but the location of cells inside each row are determined analytically. Experimental results show that general metric of placement (total wire length) is improved by 28.6% and this improvement will be more considerable for more large circuits. However, total wire length reduction is gained with a little computation overhead (about 0.01%).