Neural Networks, Genetic Algorithms, Probability Algorithms, and Simulated Annealing Algorithms
MATLAB Implementations of Key Algorithms: Neural Networks, Genetic Algorithms, Probability Algorithms, and Simulated Annealing
MATLAB Implementation of Quantum Particle Swarm Optimization Algorithm
Quantum Particle Swarm Optimization (QPSO) is a population-based probabilistic algorithm that addresses the limitation of traditional Particle Swarm Optimization where particle velocity constraints restrict search space exploration to confined regions. This implementation in MATLAB demonstrates how quantum mechanics concepts enable global optimization through position updates without velocity parameters.