Application of grey wolf algorithm for solving engineering optimization problems

Milenković, Nikola; Krstić, T Mladen; Jovanović, Marija

doi:10.5937/tehnika2101050m

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Milenković and Jovanović [7] also shows how the Grasshopper Optimization Algorithm (GOA) can be utilised to solve specific engineering optimization problems. Particle Swarm Optimization was used to do parametric optimization on the spring design problem, pressure vessel design problem, cantilever beam design problem, cone coupling design problem, and welded beam design problem is also introduced by Milenković et al [8]. Gordy demonstrated SMAP (Soil Moisture Active and Passive) Cone Clutch Assembly (CCA) Thermal Conductance Test [9].…”

Section: Literature Surveymentioning

confidence: 99%

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Nancy¹,

Stephen²

2022

MMEP

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A coupling is a mechanism that transmits operative power between two shafts that are revolving at different speeds. A coupling connects two shafts at their ends and can slip or fail depending on the torque limit. It is an essential component of any power transmission system and may survive for a very long time if properly designed and maintained. This study's current research, a newly developed optimization algorithms are used to minimize the volume of cone coupling. The current study presented here compares modern metaheuristic methods for optimizing the design of the cone coupling problem. The algorithms used are particle swarm optimization (PSO), crow search algorithm (CSA), enhanced honeybee mating optimization (EHBMO), Harmony search algorithm (HSA), Krill heard algorithm (KHA), Pattern search algorithm (PSA), Charged system search algorithm (CSSA), Salp swarm algorithm (SSA), Big bang big crunch optimization (B-BBBCO), Gradient based Algorithm (GBA). The performance of these algorithms is assessed both statistically and subjectively. The algorithms' performance is evaluated quantitatively and qualitatively using consistency, simplicity and quality. The experimental results on the cone clutch problem shows that PSO produces greater results than EHBMO, whereas CSA and BBCO produce approximately identical results.

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Section: Literature Surveymentioning

confidence: 99%

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Nancy¹,

Stephen²

2022

MMEP

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“…The Grey Wolf Optimizer (GWO) [3] is based on the complex hierarchy of grey wolf packs. This algorithm has both phases of p-type metaheuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Mechanical engineering design optimization using reptile search algorithm

Milenković¹,

Jovanović²,

Krstić³

2022

Sci Tech Rev

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Optimization algorithms plays a vital role in mechanical engineering. In this paper we have demonstrated how the Reptile Search Algorithm (RSA) algorithm is able to solve classical engineering design problems. In the first part, the biological reference, as well as a detailed overview of the algorithm is given. Afterwards, the RSA algorithm and the potential to solve the machine engineering design class of problems is given. The source code for this algorithm was written using MATLAB R2020a software suite. The Reptile Search Algorithm (RSA) algorithm was used for optimization problems in the field of engineering design, such as: pressure vessel optimization, disk brake optimization and cantilever beam optimization. The statistical results and comparisons show that the RSA algorithm provides comparable results to other state-of-the-art algorithms used for this problem.

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Application of Grey Clustering Algorithm in Wet-land Ecotourism Development

Shuangquan

2022

2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)

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Application of grey wolf algorithm for solving engineering optimization problems

Cited by 7 publications

References 12 publications

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Mechanical engineering design optimization using reptile search algorithm

Application of Grey Clustering Algorithm in Wet-land Ecotourism Development

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