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Questions and Answers
What is the final solution path obtained from the given iterations?
What is the time complexity of Greedy best-first search in the worst case?
What is the space complexity of Greedy best-first search in the worst case?
Is Greedy best-first search complete?
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Is Greedy best-first search optimal?
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What is A* search algorithm?
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What is the evaluation function used in A* search algorithm?
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What happens when the goal node is found in A* search algorithm?
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What is the purpose of the OPEN list in A* search algorithm?
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What happens to a node when it is expanded in A* search algorithm?
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Study Notes
The use of GA in the field of robotics
- Genetic Algorithm can be used to find the best path for autonomous mobile robots.
- Genetic Algorithm can be used to find the optimal value for time of recharging.
- Genetic Algorithm can be used for Automatic Recharging Path Planning for Cleaning Robots.
General implementation of the Genetic Algorithm
- This is a general implementation of the Genetic Algorithm.
Types of search algorithms
- Search algorithms can be classified into two categories: uninformed (Blind search) and informed search (Heuristic search).
- Uninformed search does not contain any domain knowledge and operates in a brute-force way.
- Informed search uses domain knowledge to guide the search.
Uninformed/Blind Search
- Uninformed search only includes information about how to traverse the tree and how to identify leaf and goal nodes.
- It is also called blind search.
A* Search Algorithm
- A* search algorithm is optimal if it is admissible and consistent.
- Admissible heuristic is optimistic in nature.
- Consistency is required for A* graph-search.
- Time complexity of A* search algorithm depends on the heuristic function and the number of nodes expanded.
- Space complexity of A* search algorithm is O(b^d)f(n).
Using a Genetic Algorithm to Explore A*-like Path Finding Algorithms
- The parameters of A* search are considered as chromosome parameters for Genetic Algorithm population.
- The final solution path is found using iteration and expansion of nodes.
Best-first Search Algorithm (Greedy Search)
- Time complexity of Greedy best-first search is O(bm).
- Space complexity of Greedy best-first search is O(bm).
- Greedy best-first search is incomplete and not optimal.
A* Search Algorithm
- A* search uses heuristic function h(n) and cost to reach the node n from the start state g(n).
- The algorithm terminates when the goal node is found.
- A* search algorithm is a combination of search heuristic and the cost to reach the node.
- The algorithm uses a fitness number, which is the sum of the cost and heuristic function.
- At each point in the search space, only the node with the lowest value of f(n) is expanded.
- The algorithm follows a step-by-step process to find the goal node.
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Description
This quiz covers the use of Genetic Algorithm in the field of robotics, including its applications and examples. It is part of a comprehensive course on Genetic Algorithm, covering topics from introduction to machine learning and medicine.
