Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things

Due to the problem of attribute redundancy in meteorological data from the Industrial Internet of Things (IIoT) and the slow efficiency of existing attribute reduction algorithms, attribute reduction based on a genetic algorithm for the coevolution of meteorological data was proposed. The evolutionary population was divided into two subpopulations: one subpopulation used elite individuals to assist crossover operations to increase the convergence speed of the algorithm, and the other subpopulation balanced the population diversity in the evolutionary process by introducing a random population; these two subpopulations completed the evolutionary operations together. With the TSDPSO-AR algorithm and ARAGA algorithm, the attribute reduction operation for precipitation in meteorological data was performed. The results showed that the proposed algorithm maintained the diversity of the population during evolution, improved the reduction performance, and simplified the information system.

• Publication year

  2019

• Venue

  Wireless Communications and Mobile Computing

• Publication date

  2019-01-03

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1155/2019/3525347
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things

  2019cited by this paper
• Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing

  2018cited by this paper
• Oblivious Transfer Based on NTRUEncrypt

  2018cited by this paper
• A Novel Index for Assessing the Robustness of Integrated Electrical Network and a Natural Gas Network

  2018cited by this paper
• BMCGM: A Behavior Economics-Based Message Transmission Cooperation Guarantee Mechanism in Vehicular Ad-hoc NETworks

  2018cited by this paper
• A two-level linearized compact ADI scheme for two-dimensional nonlinear reaction-diffusion equations

  2018cited by this paper
• Locating Compromised Data Sources in IoT-Enabled Smart Cities: A Great-Alternative-Region-Based Approach

  2018cited by this paper
• Linearized compact ADI schemes for nonlinear time-fractional Schrödinger equations

  2018cited by this paper
• Unconditionally Optimal Error Estimates of a Linearized Galerkin Method for Nonlinear Time Fractional Reaction–Subdiffusion Equations

  2018cited by this paper
• Wearable Depth Camera: Monocular Depth Estimation via Sparse Optimization Under Weak Supervision

  2018cited by this paper
• A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities

  2018cited by this paper
• NTRU Implementation of Efficient Privacy-Preserving Location-Based Querying in VANET

  2018cited by this paper
• Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model

  2018cited by this paper
• Analysis for Behavioral Economics in Social Networks: An Altruism-Based Dynamic Cooperation Model

  2018cited by this paper
• A Bayesian Learning Method for Financial Time-Series Analysis

  2018cited by this paper
• Ontology-based data semantic management and application in IoT- and cloud-enabled smart homes

  2017cited by this paper
• Multiobjective Optimization in Cloud Brokering Systems for Connected Internet of Things

  2017cited by this paper
• A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid

  2017cited by this paper
• When Weather Matters: IoT-Based Electrical Load Forecasting for Smart Grid

  2017cited by this paper
• Genetic algorithm based model for optimizing bank lending decisions

  2017cited by this paper
• Sharp Sufficient Conditions for Stable Recovery of Block Sparse Signals by Block Orthogonal Matching Pursuit

  2016cited by this paper
• On the Construction of Data Aggregation Tree With Maximizing Lifetime in Large-Scale Wireless Sensor Networks

  2016cited by this paper
• Efficient implementation to numerically solve the nonlinear time fractional parabolic problems on unbounded spatial domain

  2016cited by this paper
• CANS: Towards Congestion-Adaptive and Small Stretch Emergency Navigation with Wireless Sensor Networks

  2016cited by this paper
• Coverage Hole Bypassing in Wireless Sensor Networks

  2016cited by this paper
• Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine

  2016cited by this paper
• Nearly Optimal Bounds for Orthogonal Least Squares

  2016cited by this paper
• Maximal limited similarity-based rough set model

  2016cited by this paper
• On quick attribute reduction in decision-theoretic rough set models

  2016cited by this paper
• Cross-Domain Fine-Grained Data Usage Control Service for Industrial Wireless Sensor Networks

  2015cited by this paper
• A note on compact finite difference method for reaction–diffusion equations with delay☆

  2015cited by this paper
• An Efficient Algorithm for Optimally Solving a Shortest Vector Problem in Compute-and-Forward Design

  2014cited by this paper
• A Survey on Clustering based Meteorological Data Mining

  2014cited by this paper
• A Trajectory Prediction Approach for Mobile Objects by Combining Semantic Features

  2014cited by this paper
• Energy-Efficient Adaptive Routing and Context-Aware Lifetime Maximization in Wireless Sensor Networks

  2014cited by this paper
• Self-Learning Model Based on Dominance-Based Rough Set Approach

  2014cited by this paper
• Split Newton iterative algorithm and its application

  2010cited by this paper
• MGRS: A multi-granulation rough set

  2010cited by this paper

• Ordered Weighted Average Operators Into Deep Learning and Quantum Computing for Algorithmic Trading

  2026cites this paper
• Hybrid genetic algorithms in agent-based artificial market model for simulating fan tokens trading

  2024cites this paper
• Managing extreme cryptocurrency volatility in algorithmic trading: EGARCH via genetic algorithms and neural networks

  2024cites this paper
• High-Frequency Trading in Bond Returns: A Comparison Across Alternative Methods and Fixed-Income Markets

  2023cites this paper
• A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems

  2023cites this paper
• Research and Development Thinking of Environmental Meteorology Service Transformation under Digital Background

  2023cites this paper
• Brand image innovation design based on the era of 5G internet of things

  2022cites this paper
• Co-Operative Binary Bat Optimizer with Rough Set Reducts for Text Feature Selection

  2022cites this paper
• Joining Formal Concept Analysis to Feature Extraction for Data Pruning in Cloud of Things

  2021cites this paper
• Big Data Analytics in Weather Forecasting: A Systematic Review

  2021influential citation
• Effective Feature Selection Using Hybrid GA-EHO for Classifying Big Data SIoT

  2020cites this paper
• Efficient Breadth-First Reduct Search

  2020cites this paper
• Resource allocation solution for sensor networks using improved chaotic firefly algorithm in IoT environment

  2020cites this paper
• Design and implementation of intelligent traffic and big data mining system based on internet of things

  2020cites this paper
• Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation

  2019cites this paper
• An Integrated Model of Rough Set and Radial Basis Function Neural Network for Early Warning of Enterprise Human Resource Crisis

  2019cites this paper
• A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data

  2019cites this paper