Genetic Algorithm

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S. L. Varma Soft Computing SC: Question Banks on Genetic Algorithm 1. What is genetic algorithm? Name existing search methods? - Genetic algorithms are search algorithms based on the mechanics of natural selection and natural genetics. - Calculus based methods, enumerative schemes, random search algorithms. 2. What are the operators involved in a simple genetic algorithm? Explain each with example? - Reproduction, cross over, mutation. - Reproduction Example (Reproduction is a process in which individual strings are copied according to their objective function. ) - Cross over example (Cross over is a recombination operator.) - Mutation example 3. What is cross over? What is cross over rate? What are the types of cross over? What are the types of multi point cross over? - Cross over is a recombination operator. - Cross over rate is usually denoted as Pc the probability of cross over. - Single site cross over, two point cross over, multipoint cross over and uniform cross over. - Even number of cross sites and odd number of cross sites. 4. What is inversion? What are the types of inversion? - The string from the population is selected and the bits between two random sites are inverted. - Linear+end-inversion , continuous inversion and mass inversion. 5. What is deletion and duplication? What is segregation? -Any two or three bits at random in order are selected and the previous bits are duplicated. - The bits of the parents are segregated and then crossed over to produce offspring. 6. What is mutation operator? 98. What is mutation rate? - Mutation of a bit involves flipping it, changing 0 to1 and vice versa with a small mutation probability. - Mutation rate is the probability of mutation which is used to calculate number of bits to be muted. Numerical Questions---------------------------------------------------------------- Genetic Algorithm 1. Explain the cross over with an example - Architecture, Algorithm, and Example 2. Explain the reproduction with an example

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Genetic Algorithm

Transcript of Genetic Algorithm

Page 1: Genetic Algorithm

S. L. Varma

Soft Computing

SC: Question Banks on Genetic Algorithm

1. What is genetic algorithm? Name existing search methods?

- Genetic algorithms are search algorithms based on the mechanics of natural selection and

natural genetics.

- Calculus based methods, enumerative schemes, random search algorithms.

2. What are the operators involved in a simple genetic algorithm? Explain each with example?

- Reproduction, cross over, mutation.

- Reproduction Example (Reproduction is a process in which individual strings are copied

according to their objective function. )

- Cross over example (Cross over is a recombination operator.)

- Mutation example

3. What is cross over? What is cross over rate? What are the types of cross over? What are the types of

multi point cross over?

- Cross over is a recombination operator.

- Cross over rate is usually denoted as Pc the probability of cross over.

- Single site cross over, two point cross over, multipoint cross over and uniform cross over.

- Even number of cross sites and odd number of cross sites.

4. What is inversion? What are the types of inversion?

- The string from the population is selected and the bits between two random sites are inverted.

- Linear+end-inversion , continuous inversion and mass inversion.

5. What is deletion and duplication? What is segregation?

-Any two or three bits at random in order are selected and the previous bits are duplicated.

- The bits of the parents are segregated and then crossed over to produce offspring.

6. What is mutation operator? 98. What is mutation rate?

- Mutation of a bit involves flipping it, changing 0 to1 and vice versa with a small mutation

probability.

- Mutation rate is the probability of mutation which is used to calculate number of bits to be

muted.

Numerical Questions----------------------------------------------------------------

Genetic Algorithm

1. Explain the cross over with an example

- Architecture, Algorithm, and Example

2. Explain the reproduction with an example

Page 2: Genetic Algorithm

S. L. Varma

- Architecture, Algorithm, and Example

3. Explain the Generational cycle rank with an example

- Architecture, Algorithm, and Example

4. Explain the Simulated annealing with an example

- Architecture, Algorithm, and Example

5. Explain the Down hill simplex search with an example

- Architecture, Algorithm, and Example