Path and function synthesis of multi-bar mechanisms using beetle antennae search algorithm

Mo, Xiaojuan; Ge, Wenjie; Zhao, Donglai; Shen, Yaolei

doi:10.2298/fil2015215m

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…Then the current optimal solution is updated. Through this approach, the BAS can continuously search for better solutions, thereby finding the optimal solution on a global scale [31][32][33][34][35][36]. The search principle and abstract model of the longhorn beetle are shown in Figure 3.…”

Section: Construction Of Bas Algorithm For Distribution Network Optim...mentioning

confidence: 99%

Multi-Objective Dynamic Reconstruction of Distributed Energy Distribution Networks Based on Stochastic Probability Models and Optimized Beetle Antennae Search

Yan,

Luo,

et al. 2024

Processes

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In the dynamic optimization problem of the distribution network, a dynamic reconstruction method based on a stochastic probability model and optimized beetle antennae search is proposed. By implementing dynamic reconstruction of distributed energy distribution networks, the dynamic regulation and optimization capabilities of the distribution network can be improved. In this study, a random probability model is used to describe the uncertainty in the power grid. The beetle antennae search is used for dynamic multi-objective optimization. The performance of the beetle antennae search is improved by combining it with the simulated annealing algorithm. According to the results, the optimization success rate of the model was 98.7%. Compared with the discrete binary particle swarm optimization algorithm and bacterial foraging optimization algorithm, it was 9.3% and 26.1% faster, respectively. For practical applications, this model could effectively reduce power grid transmission losses, with a reduction range of 16.7–18.6%. Meanwhile, the charging and discharging loads were effectively reduced, with a reduction range of 16.2–19.7%. Therefore, this method has significant optimization effects on actual power grid operation. This research achievement contributes to the further development of dynamic reconstruction technology for distribution networks, improving the operational efficiency and stability of the power grid. This has important practical significance for achieving green and intelligent operation of the power system.

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Section: Construction Of Bas Algorithm For Distribution Network Optim...mentioning

confidence: 99%

Multi-Objective Dynamic Reconstruction of Distributed Energy Distribution Networks Based on Stochastic Probability Models and Optimized Beetle Antennae Search

Yan,

Luo,

et al. 2024

Processes

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show abstract

“…In this study, the design domain exhibits a large size with 18 target points. There are slight differences in the limit of design parameters in various studies, such as the GA-CSP [41], GA-DE [47], MUMSA [48], IOA S-at [53], HCDJ [77] methods, r 1 , r 2 , r 3 , r 4 ∈ [0, 50]; x 0 , y 0 , r cx , r cy ∈ [−50, 50], DE-SRT [56] and BAS [37] methods, r 1 , r 2 , r 3 , r 4 ∈ [0, 5]; r cx , r cy , x 0 , y 0 ∈ [−5, 5]. Hereafter, in the following cases, the existence of difference in the limits of design variables will not be mentioned again.…”

Section: Five Problems Of the Dimensional Synthesis Of The Path-gener...mentioning

confidence: 99%

“…Sadeghi et al [36] employed an adaptive particularly tunable fuzzy PSO (APT-FPSO) algorithm to solve the optimum path synthesis problem of defect-free four-bar mechanisms. Mo et al [37] applied a new metaheuristic algorithm, known as the beetle antennae search (BAS) algorithm, to solve the path and function synthesis problems of four-bar and Stephenson-III six-bar mechanisms. Eight examples with and without prescribed timing were investigated, and the optimal results demonstrated that the BAS method outperformed GA, PSO, and DE methods.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study on the Synthesis of Path-Generating Four-Bar Linkages Using Metaheuristic Optimization Algorithms

Kang¹,

Jun²,

You³

2022

Applied Sciences

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Four-bar linkages are one of the most widely used mechanisms in industries. This paper presents a comparative study on the accuracy and efficiency of the optimum synthesis of path-generating four-bar linkages using five metaheuristic optimization algorithms. The utilized metaheuristic methods included two swarm intelligence-based algorithms, i.e., particle swarm optimization and hybrid particle swarm optimization, and three evolutionary-based algorithms, i.e., differential evolution, ensemble of parameters and mutation strategies in differential evolution, and linearly ensemble of parameters and mutation strategies in differential evolution. The objective function to be minimized is the sum of squares of the distance between the generated points and the precision points of a coupler point. The optimal design of four-bar linkages must meet the Grashof’s criteria and exhibit sequential constraints that can prevent the occurrence of order defect. This study investigated five representative cases of the dimensional synthesis of four-bar path generators with and without prescribed timing and compared the optimal solutions of the utilized five metaheuristic methods to those of previously reported algorithms in literature. The improved metaheuristic methods exhibited superior optimal solution and enhanced reliability compared to the original methods. Moreover, three improved metaheuristic methods were not only easy implemented, but also more efficient for solving the optimal synthesis problems, particularly for high dimensional problems.

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Research on the method of determining the best measuring area for the circular surface survey

Yang

et al. 2021

Int J Adv Manuf Technol

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Path and function synthesis of multi-bar mechanisms using beetle antennae search algorithm

Cited by 4 publications

References 18 publications

Multi-Objective Dynamic Reconstruction of Distributed Energy Distribution Networks Based on Stochastic Probability Models and Optimized Beetle Antennae Search

Multi-Objective Dynamic Reconstruction of Distributed Energy Distribution Networks Based on Stochastic Probability Models and Optimized Beetle Antennae Search

Comparative Study on the Synthesis of Path-Generating Four-Bar Linkages Using Metaheuristic Optimization Algorithms

Research on the method of determining the best measuring area for the circular surface survey

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