Optimization Algorithm Works
Optimization Algorithm Works . An ant, in this algorithm, acts as multiagents that walk through the edges of the graph (paths) by spreading the pheromone. In other words, designs are represented abstractly using generative algorithms. Particle swarm optimization algorithm flowchart used in from www.researchgate.net Ant colony optimization (aco) is an optimization algorithm which employs the probabilistic technique and is used for solving computational problems and finding the optimal path with the help of graphs. It is important to minimize the cost function because it describes the discrepancy between the true value of the estimated parameter and what the model has predicted. In this article, i will present to you the most sophisticated optimization algorithms in deep learning that allow neural networks to learn faster and achieve better performance.