Gradient-based optimizer for economic optimization of engineering problems DOI
Pranav Mehta, Betül Sultan Yıldız, Sadiq M. Sait

и другие.

Materials Testing, Год журнала: 2022, Номер 64(5), С. 690 - 696

Опубликована: Май 1, 2022

Abstract Optimization of the heat recovery devices such as exchangers (HEs) and cooling towers is a complex task. In this article, widely used fin tube HE (FTHE) optimized in terms total costs by novel gradient-based optimization (GBO) algorithm. The FTHE s have cylindrical with transverse or longitudinal enhanced on it. For study, various constraints design variables are considered, cost objective function. study reveals that GBO provides promising results for present case highest success rate. Also, comparative suggest robust optimizer best-optimized values fitness function vis-à-vis variables. This builds future implications wide range engineering fields.

Язык: Английский

Experimental investigation of mechanical properties of PLA, ABS, and PETG 3-d printing materials using fused deposition modeling technique DOI

Mehmet Kopar,

Ali Rıza Yıldız

Materials Testing, Год журнала: 2023, Номер 65(12), С. 1795 - 1804

Опубликована: Сен. 7, 2023

Abstract In recent years, there has been a logarithmic interest in three-dimensional printing technologies. This technique made it possible to make more intricately shaped parts of superior quality, allowing for use variety industries, including aircraft, automobiles, and ships. study characterized the materials assessed mechanical features PLA, PETG, ABS generated at various raster angles. The strength ratios have found fluctuate when angles change. PLA created picture angle 45° had maximum tensile strength. material with shown best energy absorption, performance compressive When bending was evaluated, that samples 0–90° greatest value. SEM micrographs were obtained, test used examine fracture behavior materials. As result, using can values from one another.

Язык: Английский

Процитировано

37

An Optimal Partitioning and Floor Planning for VLSI Circuit Design Based on a Hybrid Bio-Inspired Whale Optimization and Adaptive Bird Swarm Optimization (WO-ABSO) Algorithm DOI Creative Commons
R. Karthick,

A. Senthilselvi,

P. Meenalochini

и другие.

Journal of Circuits Systems and Computers, Год журнала: 2023, Номер 32(08)

Опубликована: Март 24, 2023

Partitioning and Floor Planning are two of the design processes in VLSI used to reduce size circuit. Area interconnect length reduction key goals for physical automation very large-scale integration chips optimization. The aim decreasing area is decrease integrated chip’s size. To achieve above objective aforementioned goal, an ideal solution components, like partitioning, floor planning must be found. existing methods did not provide sufficient results Partition Plan. Therefore, this paper, Optimal Circuit Design based on Hybrid Bio-inspired Whale Optimization Adaptive Bird Swarm (WO-ABSO) Algorithm proposed. goal hybrid WO-ABSO algorithm delay planning, delay, wire has indefinite influence other criteria, such as power speed. Here, circuit partitioning problem optimized using whale optimization under ABSO algorithm. benchmark tests included test cases from Microelectronics Center North Carolina (MCNC) circuits. proposed attains lower area, usage compared with methods.

Язык: Английский

Процитировано

30

Shape and sizing optimisation of space truss structures using a new cooperative coevolutionary-based algorithm DOI Creative Commons
Bahareh Etaati, Mehdi Neshat, Amin Abdollahi Dehkordi

и другие.

Results in Engineering, Год журнала: 2024, Номер 21, С. 101859 - 101859

Опубликована: Фев. 5, 2024

Optimising the shape and size of large-scale truss frames is challenging because there a nonlinear interaction between cross-sectional nodal coordinate forces structures. Meanwhile, combining bar variables creates multi-modal search space with dynamic constraints, making an expensive optimisation engineering problem. Besides, most real problems are large-scale, algorithms faced issue scalability by increasing This paper proposed novel Cooperative Coevolutionary marine predators algorithm combined greedy (CCMPA-GS) for on sizing. The used divide-and-conquer technique to optimise separately. Therefore, in each iteration, CCMPA-GS focuses initially then switches bars tries find best cooperative combination solutions current population using context vector (CV). A embedded following fix remaining violations from structure's stress displacement. alternative strategy compared 13 established genetic, evolutionary, swarm, memetic meta-heuristic algorithms. comparison based optimising two structures consisting 260-bar 314-bar configurations. Experimental results demonstrate that method consistently outperforms other methods, delivering optimal designs superior 52 % 63.4 %, respectively. signifies substantial enhancement performance, highlighting potential as powerful field structural optimisation.

Язык: Английский

Процитировано

9

Comparison of the arithmetic optimization algorithm, the slime mold optimization algorithm, the marine predators algorithm, the salp swarm algorithm for real-world engineering applications DOI

Dildar Gürses,

Sujin Bureerat, Sadiq M. Sait

и другие.

Materials Testing, Год журнала: 2021, Номер 63(5), С. 448 - 452

Опубликована: Май 1, 2021

Abstract This paper focuses on a comparision of recent algorithms such as the arithmetic optimization algorithm, slime mold marine predators and salp swarm algorithm. The algorithm (SMA) is In order to strengthen its exploitation exploration abilities, in this paper, new hybrid algorithm-simulated annealing (HSMA-SA) has been applied structural engineering design problems. As result rules practices that have become mandatory for fuel emissions by international organizations governments, there increasing interest vehicles with minimized emissions. Many scientific studies conducted use metaheuristic methods optimum vehicle components, especially reducing weight. With inspiration obtained from above-mentioned methods, HSMA-SA studied solve shape case prove how can be used provides better results an than

Язык: Английский

Процитировано

53

Gradient-based optimizer for economic optimization of engineering problems DOI
Pranav Mehta, Betül Sultan Yıldız, Sadiq M. Sait

и другие.

Materials Testing, Год журнала: 2022, Номер 64(5), С. 690 - 696

Опубликована: Май 1, 2022

Abstract Optimization of the heat recovery devices such as exchangers (HEs) and cooling towers is a complex task. In this article, widely used fin tube HE (FTHE) optimized in terms total costs by novel gradient-based optimization (GBO) algorithm. The FTHE s have cylindrical with transverse or longitudinal enhanced on it. For study, various constraints design variables are considered, cost objective function. study reveals that GBO provides promising results for present case highest success rate. Also, comparative suggest robust optimizer best-optimized values fitness function vis-à-vis variables. This builds future implications wide range engineering fields.

Язык: Английский

Процитировано

36