TY  - JOUR
AU  - AL-Salami, Nada M.A. 
PY  - 2009
TI  - Evolutionary Algorithm Definition
JF  - American Journal of Engineering and Applied Sciences
VL  - 2
IS  - 4
DO  - 10.3844/ajeassp.2009.789.795
UR  - https://thescipub.com/abstract/ajeassp.2009.789.795
AB  - 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.