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Shima Bijari,Mojtaba Sheikhi Azqandi Techno-Press 2023 Advances in computational design Vol.8 No.4
This paper presents an optimization of the reinforced concrete ribbed slab in terms of minimum CO<sub>2</sub> emissions and an economic justification of the final optimal design. The design variables are six geometry variables including the slab thickness, the ribs spacing, the rib width at the lower and toper end, the depth of the rib and the bar diameter of the reinforcement, and the seventh variable defines the concrete strength. The objective function is considered to be the minimum amount of carbon dioxide gas (CO<sub>2</sub>) emission and at the same time, the optimal design is economical. Seven significant design constraints of American Concrete Institute's Standard were considered. A robust metaheuristic optimization method called improved dolphin echolocation and ant colony optimization (IDEACO) has been used to obtain the best possible answer. At optimal design, the three most important sources of CO<sub>2</sub> emissions include concrete, steel reinforcement, and formwork that the contribution of them are 63.72, 32.17, and 4.11 percent respectively. Formwork, concrete, steel reinforcement, and CO<sub>2</sub> are the four most important sources of cost with contributions of 67.56, 19.49, 12.44, and 0.51 percent respectively. Results obtained by IDEACO show that cost and CO<sub>2</sub> emissions are closely related, so the presented method is a practical solution that was able to reduce the cost and CO<sub>2</sub> emissions simultaneously.
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Elham Shadkam,Mehdi Bijari 한국유통과학회 2015 The Journal of Asian Finance, Economics and Busine Vol.2 No.2
In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.
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Simultaneous analysis, design and optimization of trusses via force method
Kaveh, A.,Bijari, Sh. Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.65 No.3
In this paper, the Colliding Bodies Optimization (CBO), Enhanced Colliding Bodies Optimization (ECBO) and Vibrating Particles System (VPS) algorithms and the force method are used for the simultaneous analysis and design of truss structures. The presented technique is applied to the design and analysis of some planer and spatial trusses. An efficient method is introduced using the CBO, ECBO and VPS to design trusses having members of prescribed stress ratios. Finally, the minimum weight design of truss structures is formulated using the CBO, ECBO and VPS algorithms and applied to some benchmark problems from literature. These problems have been designed by using displacement method as analyzer, and here these are solved for the first time using the force method. The accuracy and efficiency of the presented method is examined by comparing the resulting design parameters and structural weight with those of other existing methods.
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Zahra Moeini Najafabadi,Mehdi Bijari,Mehdi Khashei 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.3
The ultimate goal of investment in financial markets is to achieve the maximum expected rate of return. Risk is one of the most important factors in making profitable investment decisions. Therefore, in the literature, many efforts have been made to define, model, and determine the effect of it in making financial decisions. The first and the most fundamental attempt to quantitatively model the risk and involve it in making investment decisions is related to Markowitz’s studies. The results of these studies, besides many financial applications, have been the basis for other riskbased studies. Such methods have been investors’ main instrument in developing profitable investment strategies. However, despite scientific and practical advantages, none of them consider the predictability of under-study systems. While the predictability logically has a non-strict inverse relationship with the risk. In this paper, a new method for measuring risk based on the predictability is presented to eliminate this disadvantage. In the proposed method, Markowitz methods have been developed by entering predictability. Accordingly, the proposed method, besides the advantages of Markowitz methods, enters predictability in risk measurement. In order to evaluate the performance of the proposed method in risk measurement and investment decisions, in comparison to other methods, data from twenty companies listed on the Tehran Stock Exchange were used. The empirical results indicate the efficiency of the proposed method to make financial decisions in comparison with other methods.
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Simultaneous analysis, design and optimization of trusses via force method
A. Kaveh,Sh. Bijari 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.65 No.3
In this paper, the Colliding Bodies Optimization (CBO), Enhanced Colliding Bodies Optimization (ECBO) and Vibrating Particles System (VPS) algorithms and the force method are used for the simultaneous analysis and design of truss structures. The presented technique is applied to the design and analysis of some planer and spatial trusses. An efficient method is introduced using the CBO, ECBO and VPS to design trusses having members of prescribed stress ratios. Finally, the minimum weight design of truss structures is formulated using the CBO, ECBO and VPS algorithms and applied to some benchmark problems from literature. These problems have been designed by using displacement method as analyzer, and here these are solved for the first time using the force method. The accuracy and efficiency of the presented method is examined by comparing the resulting design parameters and structural weight with those of other existing methods.
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