Genetic Simulated Annealing Clustering Algorithm Based on MATLAB

The genetic simulated annealing clustering algorithm based on MATLAB. The simulated annealing part recalculates the fitness of individuals after genetic operations and replaces old individuals with a certain probability to form a new population. This integrates genetic algorithms and simulated annealing algorithms to overcome the shortcomings of genetic algorithms in local search capability, achieving a balance between global and local search capabilities. The program has been debugged and can be run directly.

Note: Download the source program at the end of the article“Read the Original”

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https://mbd.pub/o/author-a2uSlHBtYw==/work

MATLAB Learning and Sharing Theme

1 Improvement and Application of Intelligent Optimization Algorithms

3D packing problem, departure order optimization, reservoir scheduling, production order scheduling, optimal site selection for logistics, optimal scheduling for assembly lines, facility layout optimization, optimal bus scheduling, charging pile layout optimization, workshop layout optimization, pump combination problem, workshop scheduling problem, container ship loading optimization, visual domain base station, drone site selection optimization

2 Signal Processing

Signal analysis, signal denoising, information enhancement, radar signal analysis, electromyography signal analysis, electroencephalography signal analysis, signal timing optimization, vibration noise signal processing

3 Machine Learning and Deep Learning

Convolutional Neural Networks, Long Short-Term Memory Recurrent Neural Networks, Support Vector Machines, Least Squares Support Vector Machines, Extreme Learning Machines, Kernel Extreme Learning Machines,Back Propagation Neural Networks, Radial Basis Function, Wide Learning, Deep Belief Networks, Deep Extreme Learning Machines, XGBOOST, wind power prediction, photovoltaic prediction, battery life prediction, traffic flow prediction, load forecasting, stock price prediction, PM2.5 concentration prediction, battery health status prediction, transformer fault diagnosis, rotating machinery fault diagnosis

4 Image Processing

Image fusion, image detection, image registration, image recognition, image segmentation, image stitching, image enhancement, image compressed sensing, image hiding, image evaluation

5 Path Planning

Traveling salesman problem, 3D path planning for drones, cooperative vehicle-drone path planning, drone cooperation, robot path planning, drone task allocation, grid map path planning, drone formation, vehicle routing problem, antenna linear array distribution optimization

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Genetic Simulated Annealing Clustering Algorithm Based on MATLAB

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