Highlights
Question 1: Search Strategies
a) Describe using appropriate examples, any two typical search problems that are amenable to search techniques.
b) What is a greedy heuristic? Give a precise description of a greedy heuristic that might be used to solve a route finding problem from a source city to a destination city. Discuss thoroughly with an example.
c) What advantages or disadvantages are there in your opinion of using heuristic algorithms to solve the route finding problem?
Question 2: Evolutionary computation techniques
a) Describe, what kind of applications you think you can apply the GA to optimise. How does the GA compare to other search methods in term of finding a solution and computational cost?
i) Evaluate the fitness of each individual, showing all your workings. Arrange the chromosomes in descending order of fitness (i.e. from high fitness to low).
ii) Cross the fittest two individuals using one-point crossover at middle point of chromosomes. Evaluate the fitness of the new individuals.
iii) Cross the next two fittest individuals (ranked 3rd and 4th) using a two-point crossover at points after second bits and forth bits. Evaluate the fitness of the new individuals.
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