Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2022, Номер 403, С. 115652 - 115652

Опубликована: Ноя. 4, 2022

Язык: Английский

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Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems

Artificial Intelligence Review, Год журнала: 2023, Номер 56(9), С. 9329 - 9400

Опубликована: Янв. 30, 2023

Язык: Английский

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A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems

Knowledge-Based Systems, Год журнала: 2023, Номер 271, С. 110554 - 110554

Опубликована: Апрель 10, 2023

Язык: Английский

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Cheetah optimization algorithm for optimum design of heat exchangers

Materials Testing, Год журнала: 2023, Номер 65(8), С. 1230 - 1236

Опубликована: Июнь 29, 2023

Abstract Thermal system optimization is always a challenging task due to several constraints and critical concepts of thermo-hydraulic aspects. Heat exchangers are one those devices that widely adopted in thermal industries for various applications such as cryogenics, heat recovery, transfer applications. According the flow configurations enhancement fins, classified plate-fin exchangers, shell tube tube-fin exchangers. This article addresses economic challenge using cheetah (CO) algorithm. The design variables were optimized CO algorithm, statistical results compared with eight well-established algorithms. study revealed algorithm prominent terms realizing minimizing overall cost exchanger 100 % success rate. Furthermore, suggests adopting optimizer solving challenges different fields.

Язык: Английский

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Optimum design of a seat bracket using artificial neural networks and dandelion optimization algorithm

Materials Testing, Год журнала: 2023, Номер 65(12), С. 1767 - 1775

Опубликована: Окт. 13, 2023

Abstract Nature-inspired metaheuristic algorithms are gaining popularity with their easy applicability and ability to avoid local optimum points, they spreading wide application areas. Meta-heuristic optimization used achieve an design in engineering problems aiming obtain lightweight designs. In this article, structural methods the process of achieving a seat bracket. As result topology optimization, new concept bracket was created shape optimization. mass stress values obtained depending on variables, constraint, objective functions were by using artificial neural networks. The problem based minimization is solved applying dandelion algorithm verified finite element analysis.

Язык: Английский

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A multi-strategy boosted prairie dog optimization algorithm for global optimization of heat exchangers

Materials Testing, Год журнала: 2023, Номер 65(9), С. 1396 - 1404

Опубликована: Июль 5, 2023

Abstract In this article, a new prairie dog optimization algorithm (PDOA) is analyzed to realize the optimum economic design of three well-known heat exchangers. These exchangers found numerous applications in industries and are an imperative part entire thermal systems. Optimization these includes knowledge thermo-hydraulic designs, parameters critical constraints. Moreover, cost factor always challenging task optimize. Accordingly, total optimization, including initial maintenance, has been achieved using multi strategy enhanced PDOA combining with Gaussian mutation chaotic local search (MSPDOA). Shell tube, fin-tube plate-fin special class that utilized many recovery applications. Furthermore, numerical evidences accomplished confirm prominence MSPDOA terms statistical results. The obtained results were also compared algorithms literature. comparison revealed best performance rest algorithm. article further suggests adaptability for various real-world engineering cases.

Язык: Английский

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A new enhanced mountain gazelle optimizer and artificial neural network for global optimization of mechanical design problems

Materials Testing, Год журнала: 2024, Номер 66(4), С. 544 - 552

Опубликована: Янв. 24, 2024

Abstract Nature-inspired metaheuristic optimization algorithms have many applications and are more often studied than conventional techniques. This article uses the mountain gazelle optimizer, a recently created algorithm, artificial neural network to optimize mechanical components in relation vehicle component optimization. The family formation, territory-building, food-finding strategies of gazelles serve as major inspirations for algorithm. In order various engineering challenges, base algorithm (MGO) is hybridized with Nelder–Mead (HMGO-NM) current work. considered was applied solve four different categories, namely automobile, manufacturing, construction, tasks. Moreover, obtained results compared terms statistics well-known algorithms. findings show dominance over rest optimizers. being said HMGO can be common range industrial real-world problems.

Язык: Английский

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Composite disc optimization using hunger games search optimization algorithm

Materials Testing, Год журнала: 2023, Номер 65(8), С. 1222 - 1229

Опубликована: Июнь 28, 2023

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

Язык: Английский

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Enhancing the structural performance of engineering components using the geometric mean optimizer

Materials Testing, Год журнала: 2024, Номер 66(7), С. 1063 - 1073

Опубликована: Апрель 30, 2024

Abstract In this article, a newly developed optimization approach based on mathematics technique named the geometric mean algorithm is employed to address challenge of robot gripper, airplane bracket, and suspension arm automobiles, followed by an additional three engineering problems. Accordingly, other challenges are ten-bar truss, three-bar tubular column, spring systems. As result, demonstrates promising statistical outcomes when compared well-established algorithms. Additionally, it requires less iteration achieve global optimum solution. Furthermore, exhibits minimal deviations in results, even techniques produce better or similar outcomes. This suggests that proposed paper can be effectively utilized for wide range critical industrial real-world challenges.

Язык: Английский

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Crash performance of a novel bio-inspired energy absorber produced by additive manufacturing using PLA and ABS materials

Materials Testing, Год журнала: 2024, Номер 66(5), С. 696 - 704

Опубликована: Фев. 19, 2024

Abstract Thin-walled structures are one of the important safety components used in vehicles. They placed front parts vehicles to minimize impacts that occur event a collision, and they absorb impact force by changing shape collision. Crash boxes have high-impact absorption, low weight, low-cost expectations. In design crash boxes, thin-walled preferred due their high deformation capability. this study, additive manufacturing method was produce structures. were produced methods using PLA ABS materials. The manufactured tested an test. experimental results, energy absorption ability from materials examined, fragility observed. results verified finite element analysis made

Язык: Английский

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