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Research Progress of Intelligent Ore Blending Model

METALS (2023)

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Article Computer Science, Interdisciplinary Applications

A modified genetic algorithm for system optimization

Alexander Zemliak

Summary: By incorporating the idea of generalized optimization into genetic algorithms, this paper presents a new method for optimization that enhances accuracy and significantly reduces computing time, allowing to bypass local minima and find the global minimum.

COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING (2022)

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Article Engineering, Biomedical

被撤回的出版物: Local Media Image Propagation Algorithm and Its Governance in the Age of Artificial Intelligence (Retracted article. See vol. 2023, 2023)

Ming Guo et al.

Summary: This paper studies the analysis and governance of local media image propagation algorithm in the era of artificial intelligence, and explores an intelligent video recommendation algorithm based on BP neural network and swarm optimization, which outperforms the traditional BP neural network algorithm in video recommendation accuracy.

APPLIED BIONICS AND BIOMECHANICS (2022)

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Article Geochemistry & Geophysics

Research on the Preparation of Sinter for COREX Reduction Process by Varying Basicity and MgO Content

Benjing Shi et al.

Summary: This study investigated the effects of MgO content and basicity on the preparation and performance of sinter in the COREX process. The results showed that increasing MgO content affected the strength and reduction degradation of sinter, while changes in basicity also influenced the properties of sinter within a certain range. The mineralogy of sinter determined the variations in its performance.

MINERALS (2022)

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Article Economics

Optimizing Financial Engineering Time Indicator Using Bionics Computation Algorithm and Neural Network Deep Learning

Zeyu Wang et al.

Summary: The present study aims to improve the efficiency of financial decision-making by optimizing the time index of financial engineering. By designing and optimizing a Back Propagation Neural Network model based on the Ant Colony Algorithm, the classification efficiency, stability, and accuracy have been improved while reducing errors. Experimental results show that the model achieves a classification accuracy of 91.3% with a running time of 2.5 seconds.

COMPUTATIONAL ECONOMICS (2022)

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Article Computer Science, Information Systems

An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems

Wu Deng et al.

Summary: This paper proposes an enhanced fast NSGA-II algorithm (ASDNSGA-II) for solving multi-modal multi-objective optimization problems. By using a special congestion strategy and adaptive crossover strategy, ASDNSGA-II improves the distribution and convergence of solutions. Experimental results show that ASDNSGA-II can effectively find the global Pareto solution set and improve the distribution and convergence of solutions.

INFORMATION SCIENCES (2022)

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Article Computer Science, Information Systems

Prediction of Air Leakage Rate of Sintering Furnace Based on BP Neural Network Optimized by PSO

Xiaokai Quan et al.

Summary: The proposed air leakage rate prediction algorithm combines neural networks and particle swarm optimization algorithm to simplify the detection process, reduce detection time, control error within 5%, and improve overall sintering quality.

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2022)

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Article Computer Science, Information Systems

Particle Swarm Optimization Algorithm Based on Information Sharing in Industry 4.0

Xiaoyang Rao et al.

Summary: This paper discusses the importance of intelligent manufacturing in Industry 4.0 and how it can be achieved using artificial intelligence technology. By analyzing the advantages and disadvantages of the traditional PSO algorithm, an improved IPSO algorithm is proposed and its superior performance to traditional PSO and genetic algorithms is demonstrated through experimental results.

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2022)

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Article Multidisciplinary Sciences

A novel hybrid GWO-PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions

Smail Chtita et al.

Summary: This paper presents a hybrid maximum power point tracking (MPPT) method based on grey wolf optimization and particle swarm optimization techniques. The method can effectively extract the maximum power from photovoltaic arrays under partial shading conditions, and it has the advantages of simplicity and robustness.

SCIENTIFIC REPORTS (2022)

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Review Energy & Fuels

A comprehensive and critical review of bio-inspired metaheuristic frameworks for extracting parameters of solar cell single and double diode models

A. Younis et al.

Summary: This article reviews the application of twenty bio-inspired metaheuristic techniques in solar cell parameter identification, evaluates their performance, and provides the advantages and disadvantages of various algorithms.

ENERGY REPORTS (2022)

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Article Engineering, Mechanical

Parameter influence law analysis and optimal design of a dual mass flywheel

Guangqiang Wu et al.

Summary: This paper analyzes the influence of the dynamic parameters of a dual mass flywheel on its vibration reduction performance and uses multiple optimization algorithms for multiobjective optimization design. By establishing a vehicle powertrain system model and using various optimization algorithms, the performance of the dual mass flywheel can be effectively improved.

INTERNATIONAL JOURNAL OF MECHANICAL SYSTEM DYNAMICS (2022)

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Article Geosciences, Multidisciplinary

Reserves and Resources of Iron Ores of India - A Perspective

K. Krishnamurthy

Summary: India is one of the countries with abundant iron ore resources in the world, but the reserves are relatively low. The rapid expansion of India's steel manufacturing capacity has led to a surge in demand for iron ore. This paper analyzes the existing iron ore resources in India and the supply-demand balance, and discusses strategies to increase reserve base.

JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA (2022)

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Article Mathematical & Computational Biology

Software Defect Prediction Based on Hybrid Swarm Intelligence and Deep Learning

Zhen Li et al.

Summary: This paper implements software defect prediction based on deep learning, combining the particle swarm algorithm and the wolf swarm algorithm for optimization, resulting in better performance indicators. By using a hybrid algorithm in the search for model hyperparameter optimization, the model's performance is enhanced.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2021)

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Article Physics, Multidisciplinary

A Particle Swarm Algorithm Based on a Multi-Stage Search Strategy

Yong Shen et al.

Summary: This paper proposed a multi-stage search strategy dominated by mutual repulsion and supplemented by attraction, effectively controlling the characteristics of the population and creating a more balanced search process, leading to satisfactory results.

ENTROPY (2021)

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Article Metallurgy & Metallurgical Engineering

An Optimization for Ore Blending Schedules Using Mathematical Programming Methods

Akira Kumano et al.

TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN (2020)

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Article Engineering, Manufacturing

Optimization of spark plasma sintering parameters for NiTiCu shape memory alloys

C. Velmurugan et al.

MATERIALS AND MANUFACTURING PROCESSES (2019)

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Article Computer Science, Artificial Intelligence

Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer

Min Wu et al.

NEUROCOMPUTING (2018)

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Article Engineering, Multidisciplinary

Study on reducibility and porosity of metallurgical sinter

Simona Jursova et al.

ALEXANDRIA ENGINEERING JOURNAL (2018)

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Article Metallurgy & Metallurgical Engineering

Iron Ore Sintering: Raw Materials and Granulation

D. Fernandez-Gonzalez et al.

MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW (2017)

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Article Metallurgy & Metallurgical Engineering

Prediction of Iron Ore Sinter Properties Using Statistical Technique

Vikash Kumar et al.

TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS (2017)

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Article Metallurgy & Metallurgical Engineering

Iron Ore Sintering: Raw Materials and Granulation

D. Fernandez-Gonzalez et al.

MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW (2017)

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Proceedings Paper Materials Science, Multidisciplinary

Constraint genetic algorithm and its application in sintering proportioning

Wu Tiebin et al.

2017 2ND INTERNATIONAL SEMINAR ON ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2017)

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Article Materials Science, Multidisciplinary

Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing

Daniel Fernandez-Gonzalez et al.

JOM (2016)

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Article Environmental Studies

A system analysis of the development strategy of iron ore in China

Jinxi Wu et al.

RESOURCES POLICY (2016)

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Article Metallurgy & Metallurgical Engineering

Optimisation of MgO addition in low and high silica iron ore sinter to improve sinter reducibility at JSW Steel Limited

T. Umadevi et al.

IRONMAKING & STEELMAKING (2014)

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Article Materials Science, Multidisciplinary

Ore-blending optimization model for sintering process based on characteristics of iron ores

Sheng-li Wu et al.

INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS (2012)

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Article Metallurgy & Metallurgical Engineering

Mathematical modelling of iron ore sintering process using genetic algorithm

B. K. Giri et al.

IRONMAKING & STEELMAKING (2012)

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Proceedings Paper Energy & Fuels

Prediction of Iron Ore Sintering Characters on the Basis of Regression Analysis and Artificial Neural Network

Xiao-hui Fan et al.

2012 INTERNATIONAL CONFERENCE ON FUTURE ENERGY, ENVIRONMENT, AND MATERIALS, PT B (2012)

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Article Metallurgy & Metallurgical Engineering

Influence of talc additive on cold strength and reducibility of iron ore sinters compared to bentonite

Sh. Raygan et al.

IRONMAKING & STEELMAKING (2009)

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Article Engineering, Manufacturing

Mathematical modeling and optimization of two-layer sintering process for sinter quality and fuel efficiency using genetic algorithm

NK Nath et al.

MATERIALS AND MANUFACTURING PROCESSES (2005)

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