Swarm Quantum Particle Optimization Method
SQPO - It is a Swarm Quantum-like Particle Optimization Method used for finding the global minimum ‘potential energy’ function of different complex molecular systems. This method can also be used to determine the optimum solution of different engineering problems. The method has been extended by applying non-Gaussian distribution as probability of finding the swarm particles in the searching space, such as q-Gaussian distribution. In addition, a Replica Exchange variant of the method has also been implemented, which allows particles of different swarms swapping at regular time intervals. The code is written in C++ and Matlab.
References:
- H. Kamberaj, Q-Gaussian Swarm Quantum Particle Intelligence on Predicting Global Minimum of Potential Energy Function, Applied Mathematics and Computation, 229, 94-106, 2014.
- H. Kamberaj, Replica Exchange Using q-Gaussian Swarm Quantum Particle Intelligence Method, American Journal of Applied Sciences, Engineering and Technology, 1(1), 1-6, 2015.
