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Issue 370: The image visually captures the essence of the Toroidal Search Algorithm (TSA): an optimization search strategy involving wandering agents traversing a rugged toroidal domain. Peaks and valleys represent the challenges of a complex objective landscape, and the explorers symbolize agents searching for promising regions of optimality. The torus reflects the periodic, wrapped boundaries that motivates TSA, allowing efficient search over the domain in a way that preserves continuity and encourages expansive exploration, without boundary stagnation. The sweeping arrow suggests winding behaviour on the torus, which is used by the algorithm for global exploration and local refinement. TSA is a robust and efficient topology-informed global search strategy for difficult optimization problems, such as inverse problems and virtual patient generation in mathematical oncology.