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A study on an efficiency of new exponential Evolutionary Programming

In this paper, we investigate performances of Evolutionary Programming (EP) for optimization problems. An individual of EPs has searching optimum points and strategy parameters. The procedures of EP are consists of an initialization, a mutation, an evaluation of the individual and a selection. These processes are repeated while termination conditions are not satisfied. Experimental results show an efficiency of various types of EP.