Function Optimization Algorithm Based on Genetic Algorithm and Nonlinear Programming

This approach utilizes genetic algorithms for global exploration and nonlinear programming for local refinement, achieving comprehensive global optimal solutions through hybrid optimization.

Function Optimization Algorithm Based on Quantum Genetic Algorithm

Introducing quantum state vectors into genetic encoding and utilizing quantum logic gates for chromosome evolution to achieve superior performance compared to conventional genetic algorithms

Function Optimization Algorithm Based on Fish Swarm Optimization

The code is thoroughly documented and ready for immediate use, having been rigorously tested for reliability and performance.