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![Results of FA and GA algorithms and SOP [20] and CBO algorithm](profile/Davood-Sedaghat-Shayegan/publication/362412058/figure/tbl3/AS:11431281083057910@1662388634505/Results-of-FA-and-GA-algorithms-and-SOP-20-and-CBO-algorithm_Q320.jpg)
Optimization has always been a human concern from ancient times to the present day, also in light of advances in computing equipment and systems, optimization techniques have become increasingly important in different applications. The role of metaheuristic algorithms in optimizing and solving engineering problems is expanding every day,
optimizat...
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... results of FA and GA algorithms were obtained which are shown together with the results of the SOP method in Table 3, [20], according to the research, the results of the FA algorithm are better than the results of the GA algorithm and the SOP method [20]. In our paper to calculate the results by the CBO algorithm we keeping all the assumptions of the reference paper and with the Running of MATLAB program, the results of fourth row of Table 3 were obtained. ...Context 2
... results of FA and GA algorithms were obtained which are shown together with the results of the SOP method in Table 3, [20], according to the research, the results of the FA algorithm are better than the results of the GA algorithm and the SOP method [20]. In our paper to calculate the results by the CBO algorithm we keeping all the assumptions of the reference paper and with the Running of MATLAB program, the results of fourth row of Table 3 were obtained. Optimal parameters of CBO algorithm we have been used in the running of the program are population size and Iteration, these parameters are determined with Trial and error. ...Context 3
... the optimal value of parameters FA and GA algorithms are obtained by sensitivity analysis and in tables, No. 4 and No. 5 have been shown, [20]. Convergence curves of the FA, GA [20] and CBO algorithms, shown in Fig. 3. Figure 3. Convergence curves of the FA, GA [20] and CBO algorithms As shown in Table 3, the results of the CBO algorithm are better than all of the results of FA and GA algorithms and SOP method and only in the objective function and vulnerability is equal to the FA algorithm. Due to the definition of penalty in the objective function, its value remained constant despite the reduction of water shortage, if penalties were not defined, the value of the objective function would be reduced, but reducing the amount of water shortage was not appropriate to reduce vulnerability. ...Similar publications
The purpose of this paper is to review the new management policy in medical imaging of the Covid-19 post-pandemic transition. This paper discussed the Standard Operating Procedure (SOP) introduced by the Ministry of Health (MoH) Malaysia to prevent and control intrahospital transmissions of Covid-19. A conceptual framework is proposed to highlight...
Inovasi pelayanan publik menjadi suatu keharusan bagi pemerintah sebagai bentuk adaptasi dari perkembangan teknologi informasi. Salah satu instansi pemerintah penyedia pelayanan publik yaitu BPJS Ketenagakerjaan dengan meluncurkan inovasi aplikasi JMO untuk meningkatkan pelayanan. Tujuan penelitian ini untuk mengetahui bagaimana inovasi pelayanan p...
The SOP describes the procedures for sampling, sample preparation, boiling, and measurement of extrusion-texture parameters of boiled cassava using a texture analyzer fitted with a 5-blade grid Ottawa cell system.
Oil mining business has been started since the Dutch era, especially in Musi Banyuasin Regency in Keban Village, Sangadesa District. Over time, oil mining operations began to decrease because reserves were no longer economical (cut off), leaving old wells behind. Old wells are scattered sporadically in 12 Districts with a total of ± 1,500 old wells...
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In this article, robust beamforming (BF) and artificial noise (AN) design method is proposed for multiuser broadcast secure transmission under secrecy outage probability (SOP) constraints. A special scenario is assumed that the transmitter cannot obtain the accurate channel state information (CSI) of the users' channel, and different users have dif...
Citations
... The repetition of these actions leads to the reaching of an optimal position in the search space, or after a predefined maximum evaluation number, the optimization process is terminated. This algorithm has had many applications in civil engineering for example Optimization of Haraz dam reservoir operation using CBO metaheuristic algorithm [15] and Optimum cost design of reinforced concrete one-way ribbed slabs using CBO, PSO and Democratic PSO algorithms [16]. ...
In this article, the optimum design of a reinforced concrete solid slab is presented via an efficient hybrid metaheuristic algorithm that is recently developed. This algorithm utilizes the mouth-brooding fish (MBF) algorithm as the main engine and uses the favorable properties of the colliding bodies optimization (CBO) algorithm. The efficiency of this algorithm is compared with mouth-brooding fish (MBF), Neural Dynamic (ND), Cuckoo Search Optimization (COA) and Particle Swarm Optimization (PSO). The cost of the solid slab is considered to be the objective function, and the design is based on the ACI code. The numerical results indicate that this hybrid metaheuristic algorithm can to construct very promising results and has merits in solving challenging optimization problems.
... The repetition of these actions leads to the reaching of an optimal position in the search space, or after a predefined maximum evaluation number, the optimization process is terminated. This algorithm has had many applications in civil engineering for example Optimization of Haraz dam reservoir operation using CBO metaheuristic algorithm [15] and Optimum cost design of reinforced concrete one-way ribbed slabs using CBO, PSO and Democratic PSO algorithms [16]. ...
Optimizing the layout of the workshop by considering the variables affecting it, to achieve more efficiency and the success of the project (assigning temporary facilities such as office, warehouse, batching plant, etc. to the right place) is one of the important areas that experts pay attention to. In this regard, the optimal positioning of tower cranes and their prominent role in the effective progress of the project have been given special attention. The multiplicity of factors affecting the selection and placement of tower cranes on the one hand and the lack of suitable resources on the other hand have caused engineers to place tower cranes experimentally, which reduces safety and efficiency in the workshop environment. The purpose of this research is to investigate scientific methods based on meta-innovative algorithms for proper and optimal placement of tower cranes in the space of the workshop site. Two case studies have been selected, which have been carried out with the help of CBO-WOA, CBO, WOA meta-heuristic algorithms for the optimal location of tower cranes and the results have been analyzed.
... Or using the Reference [110] for the first time, robust evolutionary algorithms (EAs) of moth swarm algorithm (MSA), harris hawks optimization algorithm (HHO), sooty tern optimization algorithm (STOA), seagull optimization algorithm (SOA) and tunicate swarm algorithm (TSA) to optimize the operation of a multi-reservoir system to reduce the total deficit of reservoirs, where it was noted that the performance of the MSA was superior in terms of the best value of the objective function, the shortest CPU operating time and the fastest convergence rate, followed by the HHO, where the GA and PSO were ranked in the middle, while the SOA and STOA were ranked lowest. Reference [111] also used the Colliding Bodie's optimization (CBO) to optimize operation in the Haraz reservoir, explaining the advantages of results from the CBO in solving difficult optimization problems. ...
The optimization of the operation of reservoirs is one of the complex problems in terms of non-linear problems, large numbers of decision variables, and multiple constraints that are difficult to simulate and find solutions to. Researchers have tested several metaheuristics algorithms (MHAs) in the field of water resources and use them to optimize the operation of reservoirs for multiple purposes, the most important of which is to reduce the water deficit in reservoirs using these algorithms and their adoption by decision-makers. The methods of optimization of the operation of the reservoirs vary according to their objectives, the type of reservoir, or the used algorithm. The paper presents the latest studies that dealt with the use of MHAs to optimize the operation related to water supply for the reservoirs by minimizing the losses between release and the water demand from the reservoirs or increase the utilization of the water released from the dams. In addition to studying the basis of the work of these algorithms and their advantages and disadvantages when applied to optimizing operation in some reservoirs. And the effectiveness of developing algorithms to increase their efficiency in solving optimizing problems, either by modifying algorithms or integrating multiple algorithms (hybrid algorithms). The results showed the clear development and high effectiveness in the use of MHAs with different methods based on nature and stochastic in solving problems related to the optimizing operation in various reservoirs by reducing the water deficit in them and evaluating the good performance of these algorithms through different performance indicators. So, we recommend using algorithms that differ in the way they work and categorize them in future research, whether they are new algorithms or old algorithms developed to determine the appropriate algorithms for the nature of these reservoirs, in addition to including different types of reservoirs, studying them, and applying algorithms to solve water problems in them.
... The repetition of these actions leads to the reaching of an optimal position in the search space, or after a predefined maximum evaluation number, the optimization process is terminated. This algorithm has had many applications in civil engineering for example Optimization of Haraz dam reservoir operation using CBO metaheuristic algorithm [15] and Optimum cost design of reinforced concrete one-way ribbed slabs using CBO, PSO and Democratic PSO algorithms [16]. ...
In this study the challenges of managing the civil projects in oil and gas industry over recent years that failed were investigated. For this purpose, the relevant cases and their effectiveness were categorized by analyzing research data obtained from the questionnaire results. The results obtained from the research showed that there is a positive and significant relationship between the project management knowledge and reduction in the challenges. Lack of attention to the project's feasibility study before starting the project, adverse risks at the beginning and end of the projects, proper knowledge of contracts, and the project team's skill are the items that will fail the project if they are not appropriately managed. Since the team's correct design and the key persons of the project and before that feasibility and the necessity of doing it in vital projects in the country are very important and in such a way, the two components studied in this research are derived from the risk management of projects. Considering the importance of this issue as a case study, these cases were investigated in gas pipeline projects in Fars province.
