Title :
A study on an efficiency of new exponential Evolutionary Programming
Author :
Mukaihara, Kohei ; Inoue, H.
Author_Institution :
Adv. Eng. Fac., Kure Nat. Coll. of Technol., Hiroshima, Japan
Abstract :
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.
Keywords :
evolutionary computation; search problems; exponential evolutionary programming; optimization problems; optimum point searching; strategy parameter searching; termination conditions; Algorithm design and analysis; Convergence; Optimization; Programming; Sociology; Standards; Statistics; fitness; mutation; strategy parameter; valution of individual;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6662693
