cellular automata and optimization algorithms

Cellular automata are computational models consisting of a grid of cells, each with its own state, which change based on simple rules and the states of their neighboring cells, resulting in complex emergent behavior. Optimization algorithms, on the other hand, are computational techniques that search for the best solution to a given problem by iteratively exploring and evaluating potential solutions to improve upon a defined objective function.

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