Computational Intelligence

Abstract

The algorithms are formulated based on the inspiration of the natural behavior of the environmental components. The Particle Swarm Optimization (PSO) is inspired from the birds’ behavior on how they are able to reach the destination. ANT colony optimization is structured from the observation of the ant’s movement in the particular path (based on the concentration of the pheromone secretion along the path). The SEOA (Social Emotional Optimization Algorithm) and SELA (Social Evolutionary learning algorithm) are based on the human behavior model in the society. The other algorithms include genetic algorithm, bacterial foraging, and simulated annealing. Similarly the mathematical model of the Artificial Neural Network is formulated based on the study on the functions of the neurons in the brain. The ANN models like fully connected feed-forward network, convolutional network, Generative Adversarial Network, multi-class model network, auto encoder network, and Long–Short Term Memory (LSTM) network are discussed in this chapter.