Genetic Annealing
Genetic annealing is a meta-heuristic search algorithm used to optimize complex problems. It is inspired by the process of annealing in metallurgy, where a material is heated and then allowed to cool to attain a more desirable form with the least amount of energy. Similarly, genetic annealing uses genetic operations to create a population of solutions to a problem, and then simulates the cooling effect of annealing in order to obtain a better solution. This algorithm is used in many real world applications such as predictive modeling, portfolio optimization, and image processing. It is an efficient and robust technique to find high quality solutions with low computational cost.
← Journal of Genetic Engineering