An enhanced honey bee mating optimization algorithm for design of side sway steel frames

Maheri, Mahmoud R.; Shokrian, H.; Narimani, M.M.

doi:10.1016/j.advengsoft.2017.03.006

Cited by 21 publications

(7 citation statements)

References 17 publications

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“…In the last two decades, the bio-inspired approaches (Genetic algorithm (GA) [2], Particle swarm (PSO) [3], Ant colony (ACO) [4], Honey bee mating (HBMO) [5], Enhanced honey bee mating (EHBMO) [6], Whale optimization algorithm (WOA) [7], Enhanced whale optimization algorithm (EWOA) [8] etc.) and physicinspired approaches (Simulating annealing (SA) [9], Harmony search (HS) [10], Big-bang big-crunch [11],…”

Section: Introductionmentioning

confidence: 99%

“…Dogan and Saka [17] developed an optimum design algorithm based on particle swarm optimizer for planar steel frames. The superiority of the proposed algorithm was verified by optimizing three steel frames in comparison to SA and GA. An enhanced honey bee mating optimization method (EHBMA) for the optimum design of side sway steel frames was proposed by Maheri and Nerimani [6] in order to overcome trapping local optima and extend the search space of HBMO. The performance of the new method was evaluated with four design examples.…”

Section: Introductionmentioning

confidence: 99%

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Jaya algorithm for design optimization of planar steel frames

Ugur¹,

Degertekin²

2021

DÜMF Mühendislik Dergisi

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An efficient metaheuristic optimization method called Jaya Algorithm (JA) has gained wide acceptance among optimization researchers in various engineering problems recently. The main feature of JA is that it does not use algorithm-specific parameters and has a very simple formulation based on the concept of approaching the best solution and moving away from the worst solution. This study presents the JA formulation for design optimization of planar steel frames under strength and displacement constraints. The validity of JA is investigated by solving two benchmark design examples. The results demonstrated the superiority of JA over other state-of-the-art metaheuristic optimization methods in terms of optimized weight, number of structural analyses and several statistical parameters.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Jaya algorithm for design optimization of planar steel frames

Ugur¹,

Degertekin²

2021

DÜMF Mühendislik Dergisi

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show abstract

“…The efficiency of meta-heuristic algorithms for structural design has been proved by the results of many studies in the literature, for example, Refs. [1][2][3][4][5][6][7][8]. Besides that, lots of meta-heuristic algorithms have been proposed such as big bang-big crunch (BB-BC) [9], Truong, V.-H., et al / Journal of Science and Technology in Civil Engineering differential evolution (DE) [10], enhanced colliding bodies optimization (ECBO) [11], and harmony search (HS) [12].…”

Section: Introductionmentioning

confidence: 99%

Optimization of steel moment frames with panel-zone design using an adaptive differential evolution

Truong

Hung

Pham

et al. 2020

STCE

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Optimization of steel moment frames has been widely studied in the literature without considering shear deformation of panel-zones which is well-known to decrease the load-carrying capacity and increase the drift of structures. In this paper, a robust method for optimizing steel moment frames is developed in which the panel-zone design is considered by using doubler plates. The objective function is the total cost of beams, columns, and panel-zone reinforcement. The strength and serviceability constraints are evaluated by using a direct design method to capture the nonlinear inelastic behaviors of the structure. An adaptive differential evolution algorithm is developed for this optimization problem. The new algorithm is featured by a self-adaptive mutation strategy based on the p-best method to enhance the balance between global and local searches. A five-bay five-story steel moment frame subjected to several load combinations is studied to demonstrate the efficiency of the proposed method. The numerical results also show that panel-zone design should be included in the optimization process to yield more reasonable optimum designs. Keywords: direct design; differential evolution; optimization; panel-zone; steel frame.

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“…Talatahari et al [7] proposed the combination of an eagle strategy algorithm with the differential evolution (DE) which is implemented by interfacing SAP2000 structural analysis code and MATLAB mathematical software to find the optimum design of framed structures. Maheri et al [8] proposed an enhanced honey bee mating optimization algorithm for the design of side sway steel frames. The robustness of the algorithm in terms of both solution quality and computational cost is proven by solving four design optimization problems of side sway steel frames.…”

Section: Introductionmentioning

confidence: 99%

Design Optimization of 3D Steel Frameworks Under Constraints of Natural Frequencies of Vibration

Resende¹,

Carvalho²,

Lemonge³

et al. 2020

Truss and Frames - Recent Advances and New Perspectives

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Steel multistorey 3D frames are commonly used in business and residential buildings, industrial sheds, warehouses, etc. The design optimization of tall steel buildings is usually governed by horizontal loadings, such as, wind load, as well as its dynamic behavior, for which the structure must have the stiffness and stability in accordance with the safety criteria established by codes. This chapter deals with sizing structural optimization problems, concerning weight minimization of 3D steel frames, considering natural frequencies of vibration as well as allowable displacements as the constraints of the optimization problem. The discrete design variables are to be chosen from commercial profiles tables. A differential evolution (DE) is the search algorithm adopted coupled to an adaptive penalty method (APM) to handle the constraints. Three different 3D frames are optimized, presenting very interesting results.

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An enhanced honey bee mating optimization algorithm for design of side sway steel frames

Cited by 21 publications

References 17 publications

Jaya algorithm for design optimization of planar steel frames

Jaya algorithm for design optimization of planar steel frames

Optimization of steel moment frames with panel-zone design using an adaptive differential evolution

Design Optimization of 3D Steel Frameworks Under Constraints of Natural Frequencies of Vibration

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