Problem statement: Most resent evolutionary algorithms work under weak theoretical basis and thus, they are computationally expensive. Approach: This study discussed the use of new evolutionary algorithm for automatic programming, based on theoretical definitions of program behaviors. Evolutionary process adapted fixed and self-organized input-output specification of the problem, to evolve good finite state machine that efficiently satisfies these specifications. Results: The proposed algorithm enhanced evolutionary process by simultaneously solving multi-parts from the same problem. Conclusion: The probability that the algorithm will converge to the optimal solution was highly enhanced when decomposing the main problem into multi-part.
CITATION STYLE
AL-Salami, N. M. A. (2009). Evolutionary Algorithm Definition. American Journal of Engineering and Applied Sciences, 2(4), 789–795. https://doi.org/10.3844/ajeassp.2009.789.795
Mendeley helps you to discover research relevant for your work.