Reliability based design optimization using a genetic algorithm: application to bonded thin films areas of copper/polypropylene

Corso, Leandro Luís; Gasparin, Alexandre Luís; Gomes, Herbert Martins

doi:10.4067/s0718-33052016000300015

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…Esta função faz com que os indivíduos com menor aptidão tenham maior probabilidade de sofrer mutação, ou seja, visa-se melhorar a busca por pontos ótimos, uma vez que os indivíduos de baixa aptidão podem melhorar o seu papel na busca. Sabe-se que a alteração de parâmetros genéticos podem alterar consideravelmente o resultado [26]. Para isso, é inserida na Fase 11 do HTGA.…”

Section: Validação Do Modelo Apresentadounclassified

Aplicação de um algoritmo evolutivo na solução de problemas de sequenciamento da produção

Schneider

Corso

2020

SCI

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Section: Validação Do Modelo Apresentadounclassified

Aplicação de um algoritmo evolutivo na solução de problemas de sequenciamento da produção

Schneider

Corso

2020

SCI

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“…Quintero et al [18] study the synthesis of path generation and body guide using four and six-bar linkage mechanisms. Genetic algorithms are also used in other kind of study; for example in the design of spherical parallel manipulators [24] in the design of crowned cylindrical roller bearings [13] estimation in-situ rock elastic constants by acoustic reflection records [16], deposition of thin copper films on flat surfaces of polypropylene polymer, [7], calculation of reconfiguration patterns for Photovoltaic Arrays [4], analysis of the requirements of an assembly line and paint shop to determinate the scheduling order of vehicles in a production day [10], in the design of the prosthesis of a lower limb [15], in the design of displacement law of noncircular gear [19]. In this article, a redesign of the door opening and closing mechanism present in public transport bus is proposed, with the goal of solving a real engineering problem.…”

Section: Figure 1 Opening and Closing Mechanismmentioning

confidence: 99%

Optimization of the opening and closing mechanism of an urban bus door using genetic algorithm

Riaza¹,

Aldana²,

Montilla³

et al. 2018

ces

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Public transport vehicles require cyclic loading in their mechanical systems, which generally leads to the implementation of short-term maintenance plans and compels their manufacturers or owners to pay high monetary costs. One of these systems is the door opening and closing mechanism. High forces tend to be applied 3356 Héctor F. Quintero et al. for this mechanism, causing problems in its components and, hence, malfunction in a shorter period of time. This paper shows the redesign of a door opening and closing mechanism in which an optimization process is implemented based on genetic algorithms; the objective variable being the improvement of the mechanism's transmission angle. In this document, a comparative kinetostatic analysis of both the original and the redesigned mechanisms is carried out through a multi-body dynamics simulation. The results found in the simulation point out that the reactions of the proposed mechanism are reduced. In the experimental part of this work, a prototype of the designed mechanism was built and subjected to cyclic closing and opening operations. The results of this practice confirmed the advantages of the designed mechanism.

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“…The calculation of fitness degree of genetic algorithm is mainly based on the improvement of cross probability and mutation probability formula to enhance the adaptability of genetic algorithm, improve the global search ability, and make the local search ability better. 9 This basic search requires preprocessing of the original sample to adapt to the structure of the genetic algorithm, and it takes a lot of time to encode and decode. Therefore, it has a great impact on the efficiency and the cycle of the genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Construction of a Mathematical Model Based on a Genetic Algorithm for an Aptitude Program in High School Student Optimization

Xiao¹

2022

Rev Bras Med Esporte

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Introduction: The genetic algorithm is one of the essential theoretical mathematical models for simulating biological development. It is widely used in many fields such as engineering, medicine, and economics. Objective: Use the genetic algorithm as a mathematical model basis for optimization in the high school students’ aptitude program. Methods: The selection method by competition is adopted to elect the random crossover of male crossover probability with high similarity to generate a new population. A genetic algorithm was proposed to adjust the crossover probability and dynamic mutation according to fitness, aiming to solve the problem of dynamic changes. A comparative analysis is performed between the nonlinear differential equations and the Levenberg–Marquardt method algorithm. Results: The algorithm improvement was obtained after analyzing the operation process and structuring of the traditional genetic algorithm; the mathematical model application revealed improvement in the motion accuracy model established by the genetic algorithm. Conclusion: The physical enhancement optimization scheme was tested and verified by a genetic algorithm and proves the research results hold theoretical feasibility. Evidence Level II; Therapeutic Studies – Investigating the results.

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Reliability based design optimization using a genetic algorithm: application to bonded thin films areas of copper/polypropylene

Cited by 9 publications

References 16 publications

Aplicação de um algoritmo evolutivo na solução de problemas de sequenciamento da produção

Aplicação de um algoritmo evolutivo na solução de problemas de sequenciamento da produção

Optimization of the opening and closing mechanism of an urban bus door using genetic algorithm

Construction of a Mathematical Model Based on a Genetic Algorithm for an Aptitude Program in High School Student Optimization

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