LM17-Local Search Algorithms and Optimization Problems – Genetic Algorithms-Examples

5 flashcards · Computer Science · by Ramya Santhi Ramachandran

1. What are the two main features of Genetic Algorithm?

   Fitness function & Crossover techniques

2. A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state.

   True

3. Large changes in the parameter vector independent of other parameter vectors

   Macro-mutation

4. Large changes in the parameter vector dependent on other parameter vectors

   Crossover

5. 8. Small changes in the parameter vector independent of other parameter vectors

   Mutation