What are some examples of heuristic algorithms?
Heuristic algorithms are problem-solving methods that use practical approaches to find solutions. Examples include A* search, genetic algorithms, and simulated annealing.
Can you explain how the A* search algorithm works?
Sure! The A* search algorithm finds the shortest path from a start node to a goal node by evaluating the cost of paths and using heuristics to estimate the distance to the goal.
What are genetic algorithms used for?
Genetic algorithms are used for optimization problems, such as scheduling, machine learning, and evolving solutions to complex problems.
How does simulated annealing differ from genetic algorithms?
Simulated annealing is a probabilistic technique that explores the solution space by allowing worse solutions temporarily, while genetic algorithms use a population of solutions and evolve them over generations.
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