Detecor algorithm: derived from the exploration of iterative methods DOI Creative Commons
Jia Jia Li, Weimin Zheng

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Abstract The paper summarizes the pattern framework of some optimization algorithms, and proposes four directions within this algorithmic pattern: search agent particles, direction perturbation, step size. Based on pattern, introduces an algorithm called "Detector", name is just for convenient.In algorithm, as well size, it performs simple processing only considers iterative particles. For current position a function designed to evaluate position. If value greater than threshold, particle will not explore around that position, but move another location.This without any natural inspirations, in order prove effectiveness proposed framework. It also analyzes limitations class algorithms.The tested CEC2013, CEC2014, CEC2015, CEC2017, CEC2022 test suites, compared with 9 other focus high-cost CEC2013 suite. most functions suites. uses very small number parameters steps, inspirations.

Language: Английский

A Survey of Artificial Hummingbird Algorithm and Its Variants: Statistical Analysis, Performance Evaluation, and Structural Reviewing DOI

Mehdi Hosseinzadeh,

Amir Masoud Rahmani,

Fatimatelbatoul Mahmoud Husari

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: May 27, 2024

Language: Английский

Citations

4
A Modified Bonobo Optimizer with its Application in Solving Engineering Design Problems DOI Creative Commons

Maali Alabdulhafith,

Harshit Batra,

Nagwan Abdel Samee

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 134948 - 134984

Published: Jan. 1, 2024

Language: Английский

Citations

4
Integrated Multi-strategy Sand Cat Swarm Optimization for Path Planning Applications DOI Creative Commons
Yourui Huang, Quanzeng Liu, Tao Han

et al.

Intelligent Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 200486 - 200486

Published: Jan. 1, 2025

Language: Английский

Citations

0
Medical image denoising using optimal attention block-based pyramid denoising network DOI
Vaibhav Jain, Ashutosh Datar,

Yogendra Kumar Jain

et al.

Biomedical Signal Processing and Control, Journal Year: 2025, Volume and Issue: 108, P. 107794 - 107794

Published: April 23, 2025

Language: Английский

Citations

0
Multi-strategy improved gazelle optimization algorithm for numerical optimization and UAV path planning DOI Creative Commons
Lu Li, Haonan Zhao, Lixin Lyu

et al.

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

Published: April 23, 2025

The Gazelle Optimization Algorithm (GOA) is a recently proposed and widely recognized metaheuristic algorithm. However, it suffers from slow convergence, low precision, tendency to fall into local optima when addressing practical problems. To address these limitations, we propose Multi-Strategy Improved (MIGOA). Key enhancements include population initialization based on an optimal point set, tangent flight search strategy, adaptive step size factor, novel exploration strategies. These improvements collectively enhance GOA's capability, convergence speed, effectively preventing becoming trapped in optima. We evaluated MIGOA using the CEC2017 CEC2020 benchmark test sets, comparing with GOA eight other algorithms. results, validated by Wilcoxon rank-sum Friedman mean rank test, demonstrate that achieves average rankings of 1.80, 2.03, 2.70 (Dim = 30/50/100) 20), respectively, outperforming standard high-performance optimizers. Furthermore, application three-dimensional unmanned aerial vehicle (UAV) path planning problems 2 engineering optimization design further validates its potential solving constrained Experimental results consistently indicate exhibits strong scalability applicability.

Language: Английский

Citations

0
MDepthNet based phishing attack detection using integrated deep learning methodologies for cyber security enhancement DOI
Anil Kumar Yamarthy,

Ch Koteswararao

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(5), P. 6377 - 6395

Published: Feb. 29, 2024

Language: Английский

Citations

3
Efficient Optimization of Engineering Problems With A Particular Focus on High‐Order IIR Modeling for System Identification Using Modified Dandelion Optimizer DOI Open Access
Davut İzci, Fatma A. Hashim, Reham R. Mostafa

et al.

Optimal Control Applications and Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

ABSTRACT This paper introduces the modified dandelion optimizer (mDO), a novel adaptive metaheuristic algorithm designed to address complex engineering optimization challenges, with focus on infinite impulse response (IIR) system identification. The proposed mDO incorporates three key advancements: an enhanced descending phase improve global exploration, exploration‐exploitation that balances search intensity and breadth, self‐adaptive crossover operator refines solutions dynamically. These innovations specifically target challenges associated high‐order IIR modeling, enabling deliver more precise efficient To validate its performance, was rigorously evaluated across diverse testing environments, including CEC2017 CEC2022 benchmark functions, various model identification scenarios, real‐world design problems such as multi‐product batch plant design, multiple disk clutch brake speed reducer design. Comparative analyses reveal consistently outperforms leading algorithms in terms of accuracy, robustness, computational efficiency, particularly complex, high‐dimensional landscapes. Statistical assessments further confirm mDO's superior capability accurately identifying parameters even under noise varying orders. study positions competitive versatile tool for applications, offering significant improvements accuracy adaptability advanced modeling problem‐solving.

Language: Английский

Citations

0
Multi skill project scheduling optimization based on quality transmission and rework network reconstruction DOI Creative Commons
Jie Peng, Zhuo Su, Xiao Liu

et al.

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

Published: April 19, 2025

Quality deficiencies are widely acknowledged as a primary driver of project rework, with personnel skill levels serving critical determinant activity quality. This study presents scheduling model that integrates quality transmission mechanisms and dynamic rework subnet reconstruction within the Multi-Skill Resource-Constrained Project Scheduling Problem (MSRCPSP) framework. The proposed aims to optimize duration while mitigating risks. To address computational complexity model, an Improved Gazelle Optimization Algorithm (GOAIP) was developed, incorporating operators, shuffle crossover, Gaussian mutation strategies balance global local optimization. Experimental validation across diverse case scales demonstrates algorithm outperform mainstream optimization techniques in solution accuracy convergence efficiency, highlighting their robust applicability practical significance.

Language: Английский

Citations

0
Adaptive recursive system identification using optimally tuned Kalman filter by the metaheuristic algorithm DOI

Lakshminarayana Janjanam,

Suman Kumar Saha, Rajib Kar

et al.

Soft Computing, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 20, 2024

Language: Английский

Citations

3
Hippopotamus Optimization Algorithm: A Novel Nature-Inspired Optimization Algorithm DOI Creative Commons
Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Mohsen Montazeri

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 3, 2023

Abstract The novelty of this article lies in introducing a novel nonparametric metaheuristic technique named the Hippopotamus Optimization (HO) algorithm. HO is conceived by drawing inspiration from inherent behaviors observed hippopotamuses, showcasing an innovative approach methodology. conceptually defined using trinary-phase model that incorporates their position updating rivers or ponds, defensive strategies against predators, and evasion methods, which are mathematically formulated. It attained top rank 132 out 161 benchmark functions finding optimal value, encompassing unimodal high-dimensional multimodal functions, fixed-dimensional as well CEC 2019 test suite 2014 dimensions 10, 30, 50, 100 Zigzag Pattern suggests demonstrates noteworthy proficiency both local search exploitation, global exploration. Moreover, it effectively balances exploration supporting process. performance consistently surpassed 3 algorithms achieving except for 29 functions. However, although did not exhibit strong convergence these standard deviation them was lower than other investigated algorithms, illustrating its ability to manage effectively. In light results addressing four distinct engineering design challenges, has achieved most efficient resolution while concurrently upholding adherence designated constraints. Wilcoxon signed exhibits notable statistically significant advantage over optimization problems examined study.

Language: Английский

Citations

7