An optimization method of mine ventilation system based on R2 index hybrid multi-objective equilibrium optimization algorithm

Yu, Bao-Cai; Shao, Liang-Shan

doi:10.1016/j.egyr.2022.08.228

Cited by 8 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, it is clear from the experimental results that the proposed CMOEO beats EO and other stateof-the-art metaheuristics estimating its effectiveness in Photovoltaic Energy Storage Systems. R 2 index hybrid multiobjective equilibrium optimization algorithm (R 2 HMEOA), which includes R 2 index and elite archiving method, was proposed by Yu et al in the year 2022 [179] in order to improve the rules of Pareto solution, reference point strategy, and to increase the standard EO. Also, it is profusely obvious from the experimental findings that the suggested R 2 HMEOA outperforms NSGA-II, NSGA-III, MOSHO, and MOEA for the Mine Ventilation system.…”

Section: Multi-objective Equilibrium Optimizermentioning

confidence: 99%

Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications

Rai

Dhal

2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

There have been many algorithms created and introduced in the literature inspired by various events observable in nature, such as evolutionary phenomena, the actions of social creatures or agents, broad principles based on physical processes, the nature of chemical reactions, human behavior, superiority, and intelligence, intelligent behavior of plants, numerical techniques and mathematics programming procedure and its orientation. Nature-inspired metaheuristic algorithms have dominated the scientific literature and have become a widely used computing paradigm over the past two decades. Equilibrium Optimizer, popularly known as EO, is a population-based, nature-inspired meta-heuristics that belongs to the class of Physics based optimization algorithms, enthused by dynamic source and sink models with a physics foundation that are used to make educated guesses about equilibrium states. EO has achieved massive recognition, and there are quite a few changes made to existing EOs. This article gives a thorough review of EO and its variations. We started with 175 research articles published by several major publishers. Additionally, we discuss the strengths and weaknesses of the algorithms to help researchers find the variant that best suits their needs. The core optimization problems from numerous application areas using EO are also covered in the study, including image classification, scheduling problems, and many others. Lastly, this work recommends a few potential areas for EO research in the future.

show abstract

Section: Multi-objective Equilibrium Optimizermentioning

confidence: 99%

Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications

Rai

Dhal

2023

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

“…To enhance the efficacy of the ethnicity recognition process, the EO algorithm is used here. The EO algorithm was based on physical mass balance equation that gives physical basis by controlling controller's quantity weight input, production qualities, and output [24]:…”

Section: Ethnicity Recognition: Optimal Lstm Modelmentioning

confidence: 99%

Automated ethnicity recognition using equilibrium optimizer with machine learning on facial images

et al. 2022

View full text Add to dashboard Cite

In recent times, computer vision related face image analysis has gained significant attention in various applications namely biometrics, surveillance, security, data retrieval, informatics, etc. The main objective of the facial analysis is to extract facial soft biometrics like expression, identity, age, ethnicity, gender, etc. Of these, ethnicity recognition is considered a hot search topic, a major part of community with deep connections to many social and ecological concerns. The deep learning and machine learning methods is merit for effective ethnicity classification and recognition. This study develops a facial imaging based ethnicity recognition using equilibrium optimizer with machine learning (FIER-EOML) model. The goal of the FIER-EOML technique is to detect and classify different kinds of ethnicities on facial images. To accomplish this, the presented FIER-EOML technique applies an EfficientNet model to generate a set of feature vectors. For ethnicity recognition, the presented model uses long short-term memory method. To improve the recognition performance, the FIER-EOML technique utilizes EO algorithm for hyperparameter tuning process. The performance validation of the FIER-EOML technique is tested on BUPT-GLOBALFACE dataset and the results are examined under several measures. The comprehensive comparison study reported the enhanced performance of the FIER-EOML technique over other recent approaches.

show abstract

“…As an important part of ventilation system, explosion-proof cover is very important to improve the safety of mine [1][2][3][4][5][6] . When there is a fire or toxic gas in the underground air inlet roadway, anti-wind fire must be carried out in time to prevent the flame and toxic gas from entering the mining area and endangering the lives of miners, which requires timely compression of the explosion-proof cover and positive pressure to enforce anti-wind in the underground.…”

Section: Introductionmentioning

confidence: 99%

Study on Automatic Locking System of Explosion-Proof Cover of Fan in Coal Mine

Tian,

Wang,

Zhang

et al. 2024

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Explosion-proof cover locking system is an important part of explosion-proof cover work. The existing platen type air back locking system has some problems, such as manual operation, complicated steps and long time. In this paper, the mechanical structure of the automatic locking system of explosion-proof cover is studied by analyzing the requirement of the system. Through the finite element analysis of the box, it is proved that the designed box structure and strength meet the requirements. The system control program is designed to realize the function of automatic locking of explosion-proof cover, improve efficiency and reduce the probability of workers being injured.

show abstract

An optimization method of mine ventilation system based on R2 index hybrid multi-objective equilibrium optimization algorithm

Cited by 8 publications

References 15 publications

Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications

Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications

Automated ethnicity recognition using equilibrium optimizer with machine learning on facial images

Study on Automatic Locking System of Explosion-Proof Cover of Fan in Coal Mine

Contact Info

Product

Resources

About