Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems DOI
Malek Barhoush, Bilal H. Abed-alguni, Nour Alqudah

и другие.

The Journal of Supercomputing, Год журнала: 2023, Номер 79(18), С. 21265 - 21309

Опубликована: Июнь 19, 2023

Язык: Английский

An enhanced seagull optimization algorithm for solving engineering optimization problems DOI
Yanhui Che, Dengxu He

Applied Intelligence, Год журнала: 2022, Номер 52(11), С. 13043 - 13081

Опубликована: Фев. 21, 2022

Язык: Английский

Процитировано

39

A novel generalized normal distribution optimizer with elite oppositional based learning for optimization of mechanical engineering problems DOI
Pranav Mehta, Betül Sultan Yıldız, Nantiwat Pholdee

и другие.

Materials Testing, Год журнала: 2023, Номер 65(2), С. 210 - 223

Опубликована: Фев. 1, 2023

Abstract Optimization of engineering discipline problems are quite a challenging task as they carry design parameters and various constraints. Metaheuristic algorithms can able to handle those complex realize the global optimum solution for problems. In this article, novel generalized normal distribution algorithm that is integrated with elite oppositional-based learning (HGNDO-EOBL) studied employed optimize eight benchmark functions. Moreover, statistical results obtained from HGNDO-EOBL collated data well-established such whale optimizer, salp swarm LFD manta ray foraging optimization algorithm, hunger games search reptile INFO algorithm. For each cases, comparison suggests superior in terms realizing prominent values fitness function compared established algorithms. Accordingly, be adopted wide range

Язык: Английский

Процитировано

38

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

31

Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems DOI
Malek Barhoush, Bilal H. Abed-alguni, Nour Alqudah

и другие.

The Journal of Supercomputing, Год журнала: 2023, Номер 79(18), С. 21265 - 21309

Опубликована: Июнь 19, 2023

Язык: Английский

Процитировано

25