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b) Refer to the pseudocode snippet below, which refers to a well-known search algorithm. Briefly explain what issue this algorithm has in relation to searching over local minima. Modify the algorithm to add exploratory behaviour. You can provide your answer as a simple pseudocode.

b) Refer to the pseudocode snippet below, which refers to a well-known search algorithm. Briefly explain what issue this algorithm has in relation to searching over local minima. Modify the algorithm to add exploratory behaviour. You can provide your answer as a simple pseudocode.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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b) Refer to the pseudocode snippet below, which refers to a well-known search algorithm. Briefly explain what issue this algorithm has in relation to searching over local minima. Modify the algorithm to add exploratory behaviour. You can provide your answer as a simple pseudocode. 1. currentSolution = copy(startSolution); 2. bestSolution = copy(currentSolution); bestEval evaluate (currentSolution); 3. improved=false; 4. while (termination criteria not satisfied) { 5. neighborsSet = NeigborsOf(currentSolution); for all s in neighborsSet { 6. 7. tmpEval= evaluate(s); if (tmpEval< bestEval) { 8. 9. bestSolution = s; bestEval = tmpEval; improved=true; } // end if 10. 11. } // end for 12. if (improved) currentSolution = copy(bestSolution); 13. else return currentSolution; 14. } //end while
Transcribed Image Text:b) Refer to the pseudocode snippet below, which refers to a well-known search algorithm. Briefly explain what issue this algorithm has in relation to searching over local minima. Modify the algorithm to add exploratory behaviour. You can provide your answer as a simple pseudocode. 1. currentSolution = copy(startSolution); 2. bestSolution = copy(currentSolution); bestEval evaluate (currentSolution); 3. improved=false; 4. while (termination criteria not satisfied) { 5. neighborsSet = NeigborsOf(currentSolution); for all s in neighborsSet { 6. 7. tmpEval= evaluate(s); if (tmpEval< bestEval) { 8. 9. bestSolution = s; bestEval = tmpEval; improved=true; } // end if 10. 11. } // end for 12. if (improved) currentSolution = copy(bestSolution); 13. else return currentSolution; 14. } //end while
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