Vel Optimization Algorithm (VOA).

This program implements Vel Optimization Algorithm (VOA) for minimizing a sphere function

Explanation of the Algorithm:

1. Initialization: A random population is generated within the specified bounds. Each candidate's fitness is evaluated.
2. Convergence Mechanism:

• The search step size is progressively reduced (analogous to narrowing the piercing area of the Vel).
• New candidate solutions are generated around the current best solution.

1. Selection: Both the new and old populations are combined, and the best individuals are retained for the next iteration.
2. Boundary Handling: Ensures that all candidates remain within the defined search space.
3. Termination: Stops when the step size becomes too small or the maximum iterations are reached.

This algorithm can be customized by tweaking parameters such as alpha, epsilon, or adding advanced exploration strategies.

%The main inspiration of this algorithm is extracted from kantha puranam