Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks DOI Creative Commons
Yassine Bouteraa, Mohammad Khishe

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 3, 2025

This paper introduces a novel approach to enhancing the architecture of deep convolutional neural networks, addressing issues self-design. The proposed strategy leverages grey wolf optimizer and multi-scale fractal chaotic map search scheme as fundamental components enhance exploration exploitation, thereby improving classification task. Several experiments validate method, demonstrating an impressive 87.37% accuracy across 95 random trials, outperforming 23 state-of-the-art classifiers in study's nine datasets. work underscores potential chaotic/fractal bio-inspired paradigms advancing architecture.

Language: Английский

Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems DOI
Mohamed Abdel‐Basset, Reda Mohamed, Mohammed Jameel

et al.

Knowledge-Based Systems, Journal Year: 2023, Volume and Issue: 262, P. 110248 - 110248

Published: Jan. 3, 2023

Language: Английский

Citations

222

A novel chaotic chimp sine cosine algorithm Part-I: For solving optimization problem DOI

Vigya,

Saurav Raj, Chandan Kumar Shiva

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 173, P. 113672 - 113672

Published: June 25, 2023

Language: Английский

Citations

58

Arctic puffin optimization: A bio-inspired metaheuristic algorithm for solving engineering design optimization DOI
Wenchuan Wang,

Wei-can Tian,

Dong-mei Xu

et al.

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 195, P. 103694 - 103694

Published: June 15, 2024

Language: Английский

Citations

40

Stretchable-thickness model for dynamic responses of graphene origami reinforced badminton sport plate DOI
Wenwen Wang, Jianhua Zhang, Mostafa Habibi

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: July 8, 2024

In this article, we organize a stretchable-thickness model to present frequency analysis for composite plate applicable in badminton court which is reinforced with origami graphene. A higher order kinematic extended work including three bending, shear, and stretching functions, where the functions responsible satisfying out of plane shear strains stresses at top/bottom surfaces equipment. The sport or composites manufactured from copper matrix graphene effective material properties are calculated based on micromechanical models as function volume fraction folding degree origami, reinforcement temperature. numerical results presented changes fraction, reinforcement, thermal loading along thickness direction. main novelty accounting deformation investigating responses new reinforcement. verification investigation approve methodology, solution procedure. An various ratio plate.

Language: Английский

Citations

20

Application of a folded nanostructure reinforcement for the pole vault curved shell DOI

Song Zhi-qiang,

Li Aiyun,

Zhao Daichang

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: July 8, 2024

Foldability capacity is now introduced as a novel nanofiller reinforcement production procedure using some operation to control the mechanical, thermal and electrical properties in sport equipment. Application of this type nanofillers curved structures like pole vault shell leads engineering shape structures. This article organized suggest vibration-based formulation for analysis folded reinforced structure subjected mechanical loading. Using computation kinetic, strain external energies, one can arrive motion's equations minimization total energy Hamilton's principle. solution through an analytical approach, parametric presented. The verified test presented confirmation trend results.

Language: Английский

Citations

19

Optimization of constraint engineering problems using robust universal learning chimp optimization DOI
Lingxia Liu, Mohammad Khishe, Mokhtar Mohammadi

et al.

Advanced Engineering Informatics, Journal Year: 2022, Volume and Issue: 53, P. 101636 - 101636

Published: May 30, 2022

Language: Английский

Citations

56

Predicting the environmental economic dispatch problem for reducing waste nonrenewable materials via an innovative constraint multi-objective Chimp Optimization Algorithm DOI
Lei Zhu, Hao Ren, Mostafa Habibi

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 365, P. 132697 - 132697

Published: June 16, 2022

Language: Английский

Citations

46

Multi-Objective chimp Optimizer: An innovative algorithm for Multi-Objective problems DOI
Mohammad Khishe, N. Orouji, M. R. Mosavi

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 211, P. 118734 - 118734

Published: Sept. 5, 2022

Language: Английский

Citations

44

DTCSMO: An efficient hybrid starling murmuration optimizer for engineering applications DOI
Gang Hu, Jingyu Zhong, Guo Wei

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 405, P. 115878 - 115878

Published: Jan. 10, 2023

Language: Английский

Citations

38

A novel chaotic chimp sine cosine algorithm part-II: Automatic generation control of complex power system DOI

Vigya,

Chandan Kumar Shiva, B. Vedik

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 173, P. 113673 - 113673

Published: June 24, 2023

Language: Английский

Citations

35