Optimization of type III pressure vessels using genetic algorithm and simulated annealing

Prognosis and Remaining Useful Life Estimation of Lithium-Ion Battery with Optimal Multi-Level Particle Filter and Genetic Algorithm

“…GA is an evolutionary theory technique that employs natural evolution principles to find solutions to natural problems using chromosomes, which represent individual solutions to problems [36,37]. GA has found useful applications in many industrial problems and has been used by numerous authors [38][39][40][41][42][43] in literature for numerous optimization problems; hence, interested readers could consult the references for more insight on the topic.…”

“…In GA, the arrangement of the discrete constituents of the chromosomes known as genes, give them their unique characteristics; hence, the need for selection, crossover, and mutation in GA to develop new traits of emerging individuals in the solutions of real-world problems. A binary ("1" & "0") encoding of the chromosomes was used in this work given the successful implementation of the technique by many researchers [36,37]. The process of natural selection in GA requires the picking of the best genes of the chromosomes involved in the evolutionary process and combining them according to a certain proportion (crossover rate).…”

“…Some researchers have used mutation rates that were as high as 0.2 because of the need to give significant room for evolution, and to prevent chromosomes from being similar [37]. Unfortunately, high values of the mutation rate could result in the introduction of new genetic characteristics that may significantly alter the original traits of the chromosomes, and then result in an excessive evolutionary variation [36]. The crossed chromosomes from the parents result in two offspring with one of them most fitted to the original chromosomes of the experimental battery charge capacity.…”

Investigation of interlayer hybridization effect on burst pressure performance of composite overwrapped pressure vessels with load-sharing metallic liner

“…They proposed an objective function based on Tsai-Wu criterion, composite thickness, a safety factor, and a penalization factor. 22 Kim et al proposed a design algorithm for filament wound vessels under some internal pressure. They developed a semi-geodesic path algorithm, a progressive failure analysis, and a modified genetic algorithm for optimization.…”

“…To put it in a nutshell, modeling and manufacturing of Type-III COPVs, the following topics have generally been considered in the literature, i.e. (i) the elastic-plastic behavior of isotropic metal liner, 25,[31][32][33][34][35] (ii) the progressive failure analysis of composite section, 20,36,37 (iii) the composite ply thickness and fiber angle variations on the dome sections due to the nature of filament winding manufacturing technique, 22,24,38 (iv) the determination of safe and unsafe burst modes based on burst failure locations. 21,39,40 In addition to the aforementioned features, effect of hybridization on filament wound cylindrical structures was studied in the context of burst pressure, low-velocity impact, and flexural behavior.…”