IcebergOptimization​Algorithm

sphere function is implemented

Explanation:

1. Initialization:

• The initial population of icebergs is generated randomly within the specified bounds.
• Each iceberg has a size that decreases as it "melts" over time.

1. Drift & Wind:

• Drift moves icebergs toward the best solution, encouraging convergence.
• Wind introduces randomness, maintaining exploration.

1. Melting:

• The melting rate is proportional to the fitness, shrinking icebergs near optimal solutions.

1. Boundary Handling:

• Icebergs remain within the defined search space using max(min(...)).

1. Fitness Evaluation:

• The objective function used here is a sphere function f(x)=∑xi2f(x) = \sum x_i^2f(x)=∑xi2​, but this can be replaced with any other function.