<p>In this article, a generalized framework of simultaneous wireless information and power transfer (SWIPT) based massive multiple-input multiple-output (MIMO) systems is investigated for secure transmission. Unlike existing literature, where more focus is on secrecy rate analysis, here, a trade-off between secrecy energy efficiency (SEE) and sum secrecy rate (SSR) is studied. A multi-objective optimization problem is designed to optimize SEE and SSR with respect to the power splitting factor while ensuring the minimum secrecy rate and minimum harvested energy requirements. To solve the formulated multi-objective optimization problem, a hybrid approach is proposed which includes the Tchebycheff method and balanced versatile particle swarm optimization (BVPSO) algorithm. The Tchebycheff method has gained significant attention due to its ability to tackle complex problems effectively. However, in order to enhance its performance and address the limitations inherent in traditional optimization algorithms, a novel approach known as the BVPSO algorithm is introduced. The proposed hybrid approach combines the strengths of both the Tchebycheff method and the BVPSO algorithm to provide a more efficient and robust solution. Lastly, simulation results are presented to demonstrate the effectiveness of the designed algorithm and validate its superiority when compared to the exhaustive search algorithm.</p>