Abstarct: Continuous gas flow lift is one of the most common artificial lift methods widely used in the oil industry. In this method continuous high-pressure gas flows is injected, into the well tubing, to lighten the oil column, and thus facilitate the more oil production. Considering that most of our oil fields are in the second half of their production life, hence we are facing with decrease of reservoir pressure and production rate. So in order to increase the production rate we are looking to use one of the artificial lift methods. In this project for a sample well that has a low production rate, we have designed continuous gas lift system by using of nodal analysis with commercial PIPESIM software. Once the system has been designed, the value of 1.1 (MMSCF/D) was found as the optimum gas injection rate to increase well production from 318 to 1105 (STB/D). Due to limitation on the amount of available gas for injection to the wells in oil fields, we should use the intelligent methods for optimal allocation. In this study for the first time in our oil industry, it is attempt to use a new optimization algorithm that is named Shuffled Frog Leaping Algorithm (SFLA) to allocate optimally the amount of 4.6 (MMSCF/D) available gas among the 6 existing wells in an oil field. This gas value was distributed optimally to be injected into each well using the SFLA algorithm to yield a total oil production rate of 3674.1 (STB/D). This production rate indicates that the SFLA algorithm is proper enough for optimization of gas allocation. The obtained results show the proposed algorithm, in comparison to the other previously applied methods, could yield an increase of 10 STB/day increase in the total production rate. So the introduced algorithms are more efficient than the other methods of gas allocation.