Natural convection heat transfer in porous enclosures has a broad range of applications in engineering, particularly for improving thermal management in systems like electronic devices, heat exchangers, and geothermal systems. This study focuses on optimizing the thermal performance of a porous triangular chamber filled with a porous medium by applying a Multi-objective Whale Optimization Algorithm (MOWOA). The primary objectives were to maximize the Nusselt number and the heat flux rate while optimizing the porosity of the medium, aspect ratio, and Rayleigh number. The study utilized mathematical modeling and numerical simulations to assess the effects of these variables on thermal performance. Results indicate that the porosity should be minimized while the aspect ratio and Rayleigh number should be maximized to optimize thermal transfer efficiency. Comparisons with the ε-constraint method confirmed the accuracy and robustness of MOWOA, with minor discrepancies between the results, reinforcing the potential of this method in multi-objective optimization problems.