👉 The Fluid algorithm is a novel optimization technique that leverages the principles of fluid dynamics to efficiently navigate complex, high-dimensional search spaces. It models the optimization problem as a continuous flow system, where each variable represents a fluid particle moving through a network of interconnected channels. By simulating the movement and interaction of these particles, Fluid dynamically explores potential solutions, balancing exploration and exploitation to avoid local optima. This approach is particularly effective for problems with non-differentiable or discontinuous objective functions, as it can handle abrupt changes and complex landscapes without requiring gradient information. The algorithm iteratively updates the fluid's state, guiding it towards promising regions of the search space while maintaining a balance between diversity and convergence.
