Solution

The correct answer is C only

Key Points

• Genetic algorithms mimic the process of natural selection and evolution to generate increasingly better solutions to a problem.
• They involve the use of populations of potential solutions, where individuals (potential solutions) undergo genetic operations such as mutation, crossover, and selection to produce new generations of individuals.
• Over successive generations, the algorithm tends to converge towards better solutions.

Additional Information

• Self-organizing neural network: This refers to neural networks that can organize themselves based on the input data. They learn to form internal representations without explicit supervision.
• Backpropagation neural network: Backpropagation is a supervised learning algorithm used for training artificial neural networks. It involves calculating the gradient of the error with respect to the weights of the network and adjusting the weights to minimize the error.
• Forward propagation neural network: Forward propagation is the process of passing input data through the neural network to generate an output. In this phase, input signals are processed layer by layer until the final output is produced without adjusting the weights.