1)     Describe briefly the concept and methods(functions) involved in designing & implementing a Genetic Algorithm:2)     Briefly describe the difference between informed & uninformed search? What category will A* Search belong to? Hill Climbing? Genetic Algorithm?3)Describe briefly what ‘Arc Consistency’ form of propagation for enforcing local constraints in CSPs mean and how its help to detect inconsistencies early on:4) You need to develop a small python code that includes functions , using relevant libraries to solve the below problem:A graph with 10 nodes and relevant connections between those nodes. Cost to traverse each path is 1Nodes [A,B,C,D,E,F,G,H,I,J]  Connections : A->E ; D->B ; H->I ; A->I; F->G; D->E ; G->H;I->J;B->H;D->F Use any  search technique to find the optimal path ( with least cost) between A & J




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