Optimal Design of the Monopole Structures Using the CBO and ECBO Algorithms

Kaveh, A.; Mahdavi, V.R.; Kamalinejad, Mohammad

doi:10.3311/ppci.8546

Cited by 11 publications

(11 citation statements)

References 16 publications

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“…The convergence diagram of the ECBO method is also presented in Fig. 9 [15]. Agent vector and optimal weight of each method have been reported in Table 8.…”

Section: The Wind Loads (W)mentioning

confidence: 99%

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Optimal Design of Pitched Roof Rigid Frames with Non-Prismatic Members Using Quantum Evolutionary Algorithm

Arzani

Kaveh

Kamalinejad

2019

Period. Polytech. Civil Eng.

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The weight and shape of the gable and multi-span frames (mono and two-span pitched roof) with tapered members, as a familiar group of the pitched roof frames, are highly dependent on the properties of the member cross-section. In this work a quantum inspired evolutionary algorithms, so-called Quantum evolutionary algorithm (QEA) [1], are utilized for optimal design of one gable frame and a multi-span frame in five alternatives with tapered members. In order to optimize the frames, the design is performed using the AISC speciﬁcations for stress, displacement and stability constraints. The design constraints and weight of the gable and multi-span frames are computed from the cross-section of members. These optimum weights are obtained using aforementioned optimization algorithm considering the cross-section of members and design constraints as optimization variables and constraints, respectively. A comparative study of the QEA and some recently developed methods from literature is also performed to illustrate the performance of the utilized optimization algorithm and its featuring. Furthermore, optimal design of a multi-span frame is compared with the solution of other methods including the same conditions and constraints. This study indicates the power of QEA in exploring and exploitation due the search space with using Q-gate and binary code for individual representation and updating. Binary code helps the QEA to find optimal solution even with minimum number of Q-bit individuals. High speed of this method is because of such a feature.

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“…The convergence diagram of the ECBO method is also presented in Fig. 9 [15]. Agent vector and optimal weight of each method have been reported in Table 8.…”

Section: The Wind Loads (W)mentioning

confidence: 99%

“…A small fraction of the papers published are on real gable frame and saw-tooth structures with tapered members. Therefore, optimal design of the gable rigid frame and saw-tooth with web-tapered members in the low-rise buildings can be an interesting and challenging issue in structural engineering research [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Pitched Roof Rigid Frames with Non-Prismatic Members Using Quantum Evolutionary Algorithm

Arzani

Kaveh

Kamalinejad

2019

Period. Polytech. Civil Eng.

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“…For this reason, it is better to use them for problems that have complex constraints. Some applications of meta-heuristic algorithm can be found in [14,15,16]. The selected meta-heuristic algorithms used in this paper are from the well-established and widely used meta-heuristics.…”

Section: Optimization Algorithmsmentioning

confidence: 99%

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

Kaveh¹,

Kabir²,

Bohlool³

2018

Period. Polytech. Civil Eng.

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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.

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“…In fact, many such algorithms have recently been established mimicking natural phenomena, sharing simplicity in implementation and less time-consumption as their distinct advantages [12], and have been applied in solving various engineering problems [13][14][15][16]. Colliding Bodies Optimization (CBO) and its enhanced version (ECBO) are the utilized algorithms in this study.…”

Section: Introductionmentioning

confidence: 99%