Shape and size optimization of truss structure by means of improved artificial rabbits optimization algorithm

SeyedOskouei, Seyedeh Ladan; Sojoudizadeh, Reza; Milanchian, Reza; Azizian, Hadi

doi:10.1080/0305215x.2024.2308577

Engineering Optimization

2024

DOI: 10.1080/0305215x.2024.2308577

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Shape and size optimization of truss structure by means of improved artificial rabbits optimization algorithm

Seyedeh Ladan SeyedOskouei,

Reza Sojoudizadeh,

Reza Milanchian

et al.

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2024

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Cited by 3 publications

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Combined Size and Shape Optimization of Truss Structures Using the Heap-Based Optimizer (HBO) Algorithm

Bodalal

2024

Arab J Sci Eng

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Combined Size and Shape Optimization of Truss Structures Using the Heap-Based Optimizer (HBO) Algorithm

Bodalal

2024

Arab J Sci Eng

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Improved multi-strategy artificial rabbits optimization for solving global optimization problems

Wang,

Zhang,

Jin

2024

Sci Rep

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Artificial rabbits optimization (ARO) is a metaheuristic algorithm based on the survival strategy of rabbits proposed in 2022. ARO has favorable optimization performance, but it still has some shortcomings, such as weak exploitation capacity, easy to fall into local optima, and serious decline of population diversity at the later stage. In order to solve these problems, we propose an improved multi-strategy artificial rabbits optimization, called IMARO, based on ARO algorithm. In this paper, a roulette fitness distance balanced hiding strategy is proposed so that rabbits can find better locations to hide more reasonably. Meanwhile, in order to improve the deficiency of ARO which is easy to fall into local optimum, an improved non-monopoly search strategy based on Gaussian and Cauchy operators is designed to improve the ability of the algorithm to obtain the global optimal solution. Finally, a covariance restart strategy is designed to improve population diversity when the exploitation is stagnant and to improve the convergence accuracy and convergence speed of ARO. The performance of IMARO is verified by comparing original ARO algorithm with six basic algorithms and seven improved algorithms. The results of CEC2014, CEC2017, CEC2022 show that IMARO has a good exploitation and exploration ability and can effectively get rid of local optimum. Moreover, IMARO produces optimal results on six real-world engineering problems, further demonstrating its efficiency in solving real-world optimization challenges.

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A novel exploration strategy for the YUKI algorithm for topology optimization with metaheuristic structural binary distribution

Benaissa,

Kobayashi,

Al Ali

et al. 2024

Engineering Optimization

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Shape and size optimization of truss structure by means of improved artificial rabbits optimization algorithm

Cited by 3 publications

References 38 publications

Combined Size and Shape Optimization of Truss Structures Using the Heap-Based Optimizer (HBO) Algorithm

Combined Size and Shape Optimization of Truss Structures Using the Heap-Based Optimizer (HBO) Algorithm

Improved multi-strategy artificial rabbits optimization for solving global optimization problems

A novel exploration strategy for the YUKI algorithm for topology optimization with metaheuristic structural binary distribution

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