Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2022, Номер 392, С. 114616 - 114616

Опубликована: Фев. 12, 2022

Язык: Английский

---

Chaotic marine predators algorithm for global optimization of real-world engineering problems

Knowledge-Based Systems, Год журнала: 2022, Номер 261, С. 110192 - 110192

Опубликована: Дек. 15, 2022

Язык: Английский

---

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

---

Metaheuristic optimization algorithms: a comprehensive overview and classification of benchmark test functions

Soft Computing, Год журнала: 2023, Номер 28(4), С. 3123 - 3186

Опубликована: Окт. 11, 2023

Язык: Английский

---

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

---

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

---

A novel hybrid flow direction optimizer-dynamic oppositional based learning algorithm for solving complex constrained mechanical design problems

Materials Testing, Год журнала: 2023, Номер 65(1), С. 134 - 143

Опубликована: Янв. 1, 2023

Abstract In this present work, mechanical engineering optimization problems are solved by employing a novel optimizer (HFDO-DOBL) based on physics-based flow direction (FDO) and dynamic oppositional-based learning. Five real-world problems, viz. planetary gear train, hydrostatic thrust bearing, robot gripper, rolling multiple disc clutch brake, considered. The computational results obtained HFDO-DOBL compared with several newly proposed algorithms. statistical analysis demonstrates the dominance in finding optimal solutions relatively competitiveness solving constraint design problems.

Язык: Английский

---

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

---

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

---

Experimental analysis of the effects of different production directions on the mechanical characteristics of ABS, PLA, and PETG materials produced by FDM

Materials Testing, Год журнала: 2024, Номер 66(2), С. 198 - 206

Опубликована: Янв. 8, 2024

Abstract One of the most researched technologies among used for producing complex and diverse parts today is additive manufacturing. In manufacturing, production can be carried out using thermoplastic metal materials without requiring an additional process. Among manufacturing technologies, Fused Filament Fabrication (FFF) method widely worldwide due to its affordability broad application area. FFF a in which part formation achieved by depositing melted on each other. recent years, polymer such as polylactic acid (PLA), polyethylene terephthalate glycol (PETG), acrylonitrile butadiene styrene (ABS) have been frequently many industrial areas because they are lightweight, inexpensive, sustainable, provide sufficient strength engineering applications. This study conducted tensile, three-point bending, Charpy, compression tests PLA, PETG, ABS at angles 15°–75° 30°–60°, results were compared.

Язык: Английский

---