Question: What does the greedy strategy often implement in heuristic optimization algorithms? Randomly selecting choices to explore the solution space. Making locally optimal choices at each

What does the greedy strategy often implement in heuristic optimization algorithms? Randomly selecting choices to explore the solution space. Making locally optimal choices at each step. Prioritizing choices based on their alphabetical order. Always selecting the option with the highest cost. Question 9 Genetic Algorithms are inspired by the process of natural selection. What are the main components of a genetic algorithm? Chromosomes, selection, crossover, and mutation Linear equations and inequalities hortest paths and cycles Matrices and determinants

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