Xiaoying Pan

TL;DR: By inspiration of the granular evolutionary algorithm, a Granular Agent Evolutionary Classification (GAEC) algorithm for the classification task in data mining is proposed and test results show that the algorithm has a good classification prediction, and only need a small price for the training time.

TL;DR: The improved IMAGA makes use of the agent evolutionary framework, and constructs heuristic search and a hybrid crossover strategy to complete the competition and cooperation of agents, a convex mutation operator and some local search to achieve the self-learning characteristic.