choose one choice

You are designing a genetic algorithm to achieve a perfect score on a quiz. For simplicity, assume there are only 30 multiple choice questions with 4 choices per question, and one correct answer per question. Which of the following statements is INCORRECT? You can assume: 1) the algorithm does not have any prior knowledge about the topics, to the extent that it doesn't even read the questions 2) you are allowed to make an unlimited number of submissions to check the overall score (total number of correct answers) of the submitted choices. Also, for this question you can ignore any ethical considerations of using an automatic algorithm to complete a quiz. There are a total of 304 possible states in the search problem. Each individual in the algorithm is a set of responses to each question on the quiz. We can design a greedy hill climbing solution to find the optimal solution, so there is no need to use a genetic algorithm. A mutation operation entails changing the response of one question, whereas a crossover operation entails combining parts of two solution sets. The fitness of an individual is the score that it retrieves from the submission portal, and the termination threshold for the algorithm should be 30. You are designing a genetic algorithm to achieve a perfect score on a quiz. For simplicity, assume there are only 30 multiple choice questions with 4 choices per question, and one correct answer per question. Which of the following statements is INCORRECT? You can assume: 1) the algorithm does not have any prior knowledge about the topics, to the extent that it doesn't even read the questions 2) you are allowed to make an unlimited number of submissions to check the overall score (total number of correct answers) of the submitted choices. Also, for this question you can ignore any ethical considerations of using an automatic algorithm to complete a quiz. There are a total of 304 possible states in the search problem. Each individual in the algorithm is a set of responses to each question on the quiz. We can design a greedy hill climbing solution to find the optimal solution, so there is no need to use a genetic algorithm. A mutation operation entails changing the response of one question, whereas a crossover operation entails combining parts of two solution sets. The fitness of an individual is the score that it retrieves from the submission portal, and the termination threshold for the algorithm should be 30