  In this paper a novel Quantum Double Delta Swarm (QDDS) algorithm modeled
after the mechanism of convergence to the center of attractive potential field
generated within a single well in a double Dirac delta well setup has been put
forward and the preliminaries discussed. Theoretical foundations and
experimental illustrations have been incorporated to provide a first basis for
further development, specifically in refinement of solutions and applicability
to problems in high dimensional spaces. Simulations are carried out over
varying dimensionality on four benchmark functions, viz. Rosenbrock,
Rastrigrin, Griewank and Sphere as well as the multidimensional Finite Impulse
Response (FIR) Filter design problem with different population sizes. Test
results illustrate the algorithm yields superior results to some related
reports in the literature while reinforcing the need of substantial future work
to deliver near-optimal results consistently, especially if dimensionality
scales up.
