Q1// In the Figure below, consider the problem of finding the optimal path form Start city to the Goal city through the other cities. In this Figure, the numbers: i) inside the cities indicate the tax...


Q1// In the Figure below, consider the problem of finding the optimal path form Start city to the Goal city through<br>the other cities. In this Figure, the numbers: i) inside the cities indicate the tax that the city takes; ii) outside below<br>the cities indicate the distance from the city to the Goal; and iii) in parenthesis indicate the offer that the city gives.<br>(41)<br>(18)<br>(20)<br>A (40<br>13<br>14 F<br>35<br>15<br>8.<br>(50)<br>B(30<br>Start<br>(26)<br>20<br>25<br>(27)<br>10<br>10<br>Goal<br>(15)<br>20<br>20<br>10 H<br>38<br>11<br>1. Using the A* search algorithm to find the optimal path.<br>2. Use the FL to suggest a new hybrid system that can improve the result of A* in 1.<br>

Extracted text: Q1// In the Figure below, consider the problem of finding the optimal path form Start city to the Goal city through the other cities. In this Figure, the numbers: i) inside the cities indicate the tax that the city takes; ii) outside below the cities indicate the distance from the city to the Goal; and iii) in parenthesis indicate the offer that the city gives. (41) (18) (20) A (40 13 14 F 35 15 8. (50) B(30 Start (26) 20 25 (27) 10 10 Goal (15) 20 20 10 H 38 11 1. Using the A* search algorithm to find the optimal path. 2. Use the FL to suggest a new hybrid system that can improve the result of A* in 1.

Jun 06, 2022
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