Composite disc optimization using hunger games search optimization algorithm

It has been interesting in industrial applications due to the advantages provided by laminated composite applications. Composite materials are of great importance in design optimization due to the advantages they provide, such as lightweight, high strength value, and design flexibility. Finite element programs and artificial intelligence optimization techniques developed in recent years are effectively used in the design of composite materials. In order to optimize the angular orientations of the composite disc, analyses are made using the finite element program. Particle swarm optimization algorithm (PSO), genetic algorithm (GA), and hunger games search optimization algorithm(HGS) are used to determine the best stacking angle value on the disc plate using the analysis data obtained after the completion of the analyses. When the results obtained were examined, it was determined that the results obtained from particle swarm optimization, genetic algorithm, and hunger games search optimization techniques showed that hunger games search optimization algorithm gives better results as other and HGS could be used for the stacking of composite materials.

Automated summary

The advantages of laminated composite applications make them interesting in industrial applications. Composite materials are of great importance in design optimization due to their lightweight, high strength, and design flexibility. Recent developments in finite element programs and artificial intelligence optimization techniques enable effective design of composite materials. The hunger games search optimization algorithm gives better results in determining the stacking angle value for the composite disc, compared to particle swarm optimization and genetic algorithm techniques.