Introduction - If you have any usage issues, please Google them yourself
There are many optimization algorithms, the classical algorithms include linear programming, dynamic programming, etc. the improved local search algorithms include hill-climbing method, steepest descent method, etc. simulated annealing, genetic algorithm and tabu search are called the guiding search methods. The neural network and chaotic search belong to the dynamic evolution method of the system.
Gradient based traditional optimization algorithm has the advantages of high computational efficiency, strong reliability and relatively mature. It is one of the most important and most widely used optimization algorithms. However, the traditional optimization method has great limitations when it is applied to complex and difficult optimization problems.