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This page is dedicated to discussing three commonly used optimal solution algorithms.
First Ant Colony Optimization is a heuristic optimization algorithm inspired by simulating ant behavior.
In the ACO algorithm, problem-solving involves optimizing paths based on the routes taken by ants.
Second genetic algorithm is an optimization algorithm inspired by the biological evolutionary process.
It simulates the mechanisms of genetic transmission, mutation, and selection observed in nature, and is applied to solving optimization and search problems.
In the GA, The problem is addressed through continuous iterations to optimize better genes, aiming to obtain the optimal solution.
third Simulated Annealing is a heuristic optimization algorithm inspired by Annealing process in metal heat treatment. |
IEEE/ICACT20240079 Slide.06
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