A. Supposed that you have this Sate Space with 2 Goals Gl and G2 Goal State...
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A. Supposed that you have this Sate Space with 2 Goals Gl and G2 Goal State • Formulate this State Space as a search tree. • Solve the problem using DS for the 2 goals. • Solve the problem using BS for the 2 goals. Solve the problem by greedy for the 2 goals. Solve the problem by A* search for the 2 goals Start State 10 B. Consider that a system uses a genetic algorithm in one of his tasks, which individuals are represented using a 7-bit string of the form b;b;b;b,bs bęb7. The fitness function is defined: (b,b,b,b,bs) = (bi + b; + b3 + b, + bs)/3 + OR(b,ba,bs) -0 .5 * XNOR(b,b-) + 0.75 Apply GAs Process on this Population (Show Work), use RW selection, 2-bit crossover and 1-bit mutation. 0111101 0110010 1011011 0000101 1111011 1111111 1010101 A. Supposed that you have this Sate Space with 2 Goals Gl and G2 Goal State • Formulate this State Space as a search tree. • Solve the problem using DS for the 2 goals. • Solve the problem using BS for the 2 goals. Solve the problem by greedy for the 2 goals. Solve the problem by A* search for the 2 goals Start State 10 B. Consider that a system uses a genetic algorithm in one of his tasks, which individuals are represented using a 7-bit string of the form b;b;b;b,bs bęb7. The fitness function is defined: (b,b,b,b,bs) = (bi + b; + b3 + b, + bs)/3 + OR(b,ba,bs) -0 .5 * XNOR(b,b-) + 0.75 Apply GAs Process on this Population (Show Work), use RW selection, 2-bit crossover and 1-bit mutation. 0111101 0110010 1011011 0000101 1111011 1111111 1010101
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To formulate the state space into search tree convert the space into 2d matrix where number of rows and columns are total nodes in the state space there for the reference matrix will be as follows now ... View the full answer
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