OPTIMAL DESIGN OF CASCADE SPILLWAY USING META-HEURISTIC ALGORITHMS: COMPARISON OF FOUR DIFFERENT ALGORITHMS

2020 ◽  
Vol 19 (4) ◽  
pp. 687-700
Author(s):  
Ramtin Moeini ◽  
Pedram Jazayeri
Keyword(s):  
Optimal Design ◽  
Heuristic Algorithms

Comparison of four meta-heuristic algorithms for optimal design of double-layer barrel vaults

2018 ◽  
Vol 33 (3-4) ◽  
pp. 115-123
Author(s):  
Ali Kaveh ◽  
Majid Ilchi Ghazaan ◽  
Soroush Mahjoubi
Keyword(s):  
Optimal Design ◽  
Double Layer ◽  
Heuristic Algorithms ◽  
Size Optimization ◽  
Community Centers ◽  
Cross Sectional ◽  
Long Span ◽  
Design Variables ◽  
Rail Station ◽  
Barrel Vaults

Barrel vaults are effective semi-cylindrical forms of roof systems that are widespread for multipurpose facilities including warehouse, rail station, pools, sports center, airplane hungers, and community centers because of providing long-span and economical roof with significant amount of space underneath. In the present study, size optimization of double-layer barrel vaults with different configurations is studied. Four recently developed algorithms consisting of the CBO, ECBO, VPS, and MDVC-UVPS are employed and their performances are compared. The structures are subjected to stress, stability, and displacement limitations according to the provisions of AISC-ASD. The design variables are the cross-sectional areas of the bar elements which are selected from steel pipe sections. The numerical results indicate that the MDVC-UVPS outperforms the other algorithms in finding optimal design in all examples.

scholarly journals Optimal Design of Jacket Supporting Structures for Offshore Wind Turbines Using CBO and ECBO Algorithms

2017 ◽  
Author(s):  
Ali Kaveh ◽  
Sepehr Sabeti
Keyword(s):  
Optimal Design ◽  
Wind Turbines ◽  
Heuristic Algorithms ◽  
Limit State ◽  
Offshore Wind ◽  
Ultimate Limit State ◽  
Offshore Wind Turbines ◽  
Supporting Structure ◽  
Colliding Bodies Optimization ◽  
Resultant Forces

Structural optimization of offshore wind turbines is a tedious task due to the complexity of the problem. However, in this article, this problem is tackled using two meta-heuristic algorithms - Colliding Bodies Optimization (CBO) and its enhanced version (ECBO) - for a jacket supporting structure. The OC4 reference jacket is chosen as a case study to validate the methods utilized in this research. The jacket supporting structure is modeled in MATLAB and its optimal design is performed while both Ultimate Limit State (ULS) and frequency constraints are considered. In the present study, it is presumed that both wind and wave phenomena act in the same horizontal direction. As a result, all resultant forces and moments will act in-plane and the substructure can therefore be modeled in 2D space. Considerable weight reduction is obtained during the optimization process while fulfilling all constraints. 

scholarly journals Optimal Design of Multi-Span Pitched Roof Frames with Tapered Members

2018 ◽  
Author(s):  
Ali Kaveh ◽  
Mohammad Zaman Kabir ◽  
Mahdi Bohlool
Keyword(s):  
Optimal Design ◽  
Heuristic Algorithms ◽  
Optimization Algorithms ◽  
Lateral Loads ◽  
Optimal Weight ◽  
Industrial Buildings ◽  
Optimum Weight ◽  
Apex Height ◽  
Tapered Members

Many industrial buildings require large spans and high height, and the use of a frame with inclined roofs with non-prismatic elements can reduce the usage of steel. Pitched roof frame with single spans are optimized using different meta-heuristic algorithms. In this paper, the optimal design of industrial frames with two and three spans under gravity and lateral loads is performed. Five efficient and widely accepted optimization algorithms are used to optimize each frame. The convergence histories and design results of these algorithms are compared and the most suitable algorithm is determined. In each frame, the effect of increasing the apex height is evaluated on the optimal weight and the best angle is determined for optimum weight.

Examination of three meta-heuristic algorithms for optimal design of planar steel frames

2016 ◽  
Vol 1 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Ghanshyam G. Tejani ◽  
Vishwesh H. Bhensdadia ◽  
Sujin Bureerat
Keyword(s):  
Optimal Design ◽  
Heuristic Algorithms ◽  
Steel Frames

Optimal design of labyrinth spillways using meta-heuristic algorithms

2015 ◽  
Vol 20 (1) ◽  
pp. 468-477 ◽  
Author(s):  
Khosrow Hosseini ◽  
Ehsan Jafari Nodoushan ◽  
Reza Barati ◽  
Hossein Shahheydari
Keyword(s):  
Optimal Design ◽  
Heuristic Algorithms

scholarly journals Optimal Design of Steel-Concrete Composite I-girder Bridges Using Three Meta-Heuristic Algorithms

2018 ◽  
Author(s):  
Ali Kaveh ◽  
Mohammad Mahdi Motesadi Zarandi
Keyword(s):  
Optimal Design ◽  
Heuristic Algorithms ◽  
Particle System ◽  
Cost Optimization ◽  
Optimized Design ◽  
Code Of Practice ◽  
Longitudinal Stiffener ◽  
Girder Bridges ◽  
Colliding Bodies Optimization ◽  
Continuous And Discrete Variables

Bridges are among very important structures in engineering, due to their rather high cost, and this is why optimization of these structures is a challenging problem. In this paper, optimal design of steel-concrete composite I-girder bridges is performed. Three recently developed meta-heuristic algorithms consisting of Colliding Bodies Optimization (CBO), Enhanced Colliding Bodies Optimization (ECBO) and Vibration Particle System (VPS) are utilized for the first time in the optimal design of steel-concrete I-girder bridges. Both continuous and discrete variables are utilized in the process of optimization. Performance and the convergence histories of these algorithms are compared. In order to have a suitable comparison between these algorithms with previous algorithms, PSO is used and results are displayed. This paper focuses on cost optimization the bridges. Furthermore constraints include all of requirements of the code of practice for design. The comparative study has shown that VPS algorithm has better performance than CBO and ECBO. However, all three algorithms act in a way that the final optimized design does not need the addition of the longitudinal stiffener.

Optimal design of steel pipe rack structures using PSO, GWO, and IGWO algorithms

2021 ◽  
pp. 136943322110041
Author(s):  
Pooya Zakian ◽  
Behnam Ordoubadi ◽  
Erfan Alavi
Keyword(s):  
Optimal Design ◽  
Design Optimization ◽  
Cross Sections ◽  
Optimization Problem ◽  
Heuristic Algorithms ◽  
Cost Effective ◽  
Steel Pipe ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Industrial Structures

Design optimization of industrial structures is of great importance for engineers in order to provide a cost-effective structural design. Meanwhile, pipe rack is a skeletal industrial structure subjected to various types of loading such as gravity, seismic, piping, and thermal forces. While there are many studies on design optimization of the most common structures, only a limited number of studies exist on optimal design of industrial structures. In this article, a design optimization problem is proposed for weight minimization of steel pipe rack structures, and then the problem is solved through three meta-heuristic algorithms consisting of a modified particle swarm optimization (PSO), grey wolf optimizer (GWO), and the recently developed improved grey wolf optimizer (IGWO). The optimization problem is in discrete form in order to consider practically available cross-sections for the structural members. Stress ratio, drift, and dimensional constraints are imposed during the optimization. In order to demonstrate the capability and effectiveness of the present design optimization problem, a pipe rack structure is optimized by the proposed algorithms, and the optimized designs are compared to an ordinary design in terms of the structural weight and the status of constraints.

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