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Author: harshajv7981

genetic_algorithm/generic_optimisation.py

@@ -0,0 +1,31 @@
+def fitness_function(input_value: float) -> float:
+    """
+    Calculate the fitness (objective) function value for a given input.
+
+    Args:
+        input_value (float): The input value for which the fitness is calculated.
+
+    Returns:
+        float: The fitness value calculated for the input.
+
+    Raises:
+        ValueError: If the input is not a valid floating-point number.
+
+    Example:
+    >>> fitness_function(2.5)
+    12.25
+    >>> fitness_function(-1.0)
+    6.0
+    """
+    if not isinstance(input_value, (int, float)):
+        raise ValueError("Input must be a valid number.")
+
+    # Define your fitness function here (e.g., x^2, or any other function)
+    return input_value**2 + 3 * input_value + 2
+
+
+if __name__ == "__main__":
+    # Example usage
+    x_value = float(input("Enter the value of input_value: ").strip())
+    fitness = fitness_function(x_value)
+    print(f"The fitness for  = {x_value} is {fitness}.")