Dr. Poloko Moloi

Poloko Moloi is a researcher in computational optimization with a focus on global optimization methods for complex physical systems. Work published in Computational Optimization and Applications highlights contributions to algorithm development for challenging non‑convex minimization problems arising in scientific computing and materials modeling.

Research centers on iterative global optimization techniques, particularly adaptations of differential evolution for potential energy minimization. Applications to Lennard-Jones and many-body potentials demonstrate expertise in bridging numerical optimization with atomic-scale modeling, addressing problems relevant to molecular configurations and silicon interactions.

The available publication record is limited, yet it reflects strength in algorithmic design, metaheuristic methods, and computational experimentation. Contributions emphasize robustness and applicability of evolutionary strategies to physically meaningful energy landscapes, indicating a solid foundation in both optimization theory and applied computational science.