In practical multi-objective optimization situations, the relative importance of each property may differ, and it is desirable to have high prediction reliability for properties of high importance, whereas for properties of lesser importance, it may be acceptable to compromise reliability. Therefore, we tested the feasibility of adjusting the reliability level of each property by weighting it using the DyRAMO. This investigation was conducted under four scenarios: 1. without prioritization (no-priority) and 2. with the highest priority given to inhibitory activity against EGFR (inhibitory activity prioritized); 3. metabolic stability (metabolic stability prioritized); and 4. membrane permeability (permeability prioritized). The weighting was provided by the value of the σ of the Scaler in the DSS score. The σ for each property was set to (i) for properties given the highest priority and (iii) for others. In pattern 1 (no-priority), (iii) was set for all properties. Except for the weighting, the reliability levels were explored under the same conditions as those in the exploration conducted by DyRAMO in Section 2.2.