MATLAB Implementation of Simulated Annealing Algorithm
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Resource Overview
Simulated annealing source code developed through collaborative work with academic advisor - features comprehensive algorithm implementation with temperature scheduling, energy evaluation, and neighbor state generation functions
Detailed Documentation
This is a highly practical MATLAB implementation of the simulated annealing algorithm, co-developed with my academic advisor. The code provides a complete framework featuring key components including temperature scheduling using geometric cooling, objective function evaluation for energy calculation, and neighbor state generation through perturbation mechanisms. I encourage all users to examine this implementation to gain insights into practical optimization techniques and adaptive probability acceptance functions that prevent local optima convergence.
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