  Two-dimensional generalization of the original peak finding algorithm
suggested earlier is given. The ideology of the algorithm emerged from the well
known quantum mechanical tunneling property which enables small bodies to
penetrate through narrow potential barriers. We further merge this ``quantum''
ideology with the philosophy of Particle Swarm Optimization to get the global
optimization algorithm which can be called Quantum Swarm Optimization. The
functionality of the newborn algorithm is tested on some benchmark optimization
problems.
