# Import necessary libraries
import numpy as np

def heuristic(item, bins):
    diff = bins - item  # remaining capacity
    exp = np.exp(diff)
    sqrt = np.sqrt(diff)
    ulti = 1 - diff / bins 
    comb = ulti * sqrt  # combination of utilization and square root
    adjust = np.where(diff > (item * 3), comb + 0.8, comb + 0.3)

    # hybrid score based on exponent term
    hybrid_exp = bins / ((exp + 0.7) * exp) 
    # sum of hybrid score and adjustment
    scores = hybrid_exp + adjust  

    return scores