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A chemical engineer adjusts temperature and pressure settings within a reactor to optimize product yield; which constraint satisfaction technique manages the coupled non-linear equations?

A)Hill-climbing local search algorithm
B)Simulated annealing probabilistic optimization
C)Genetic algorithm population-based search
D)Arc consistency constraint propagation

💡 Explanation

Arc consistency reduces the search space by removing inconsistent values from variable domains, which helps in solving constraint satisfaction problems involving non-linear equations because it prunes impossible solutions early, therefore it is relevant rather than methods for general optimization.

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