  We have employed Particle Swarm Optimization to address a stochastic variant
of the Smallest Enclosing Sphere estimation problem. An efficient algorithm has
been developed to ascertain the optimal center and radius of a sphere
encompassing a cloud of points within a three-dimensional space. Our findings
are benchmarked against simulated scenarios of the classical problem.
Additionally, we elucidate several benefits of our proposed algorithm over
Welzl's Algorithm.
