ALO Optimization algorithm performance for the marine propeller design

The marine propeller design is a series of repetitive trial and error in calculations. It depends on the terms and limits of the effective factors in the design. Optimization of the process in order to increase the total efficiency is very important. Many optimization algorithms have been suggested so as to reduce the time of marine propeller design that the most famous of them is genetic algorithm. This algorithm is developed day by day. In this paper after briefly introduce existing theories and algorithm explained the method of ALO algorithm and expressed haw it work in a simple example. What was achieved while confirming the ability of this algorithm in Optimization and represents other feature of this algorithm in marine propeller design according to its feature related to the convergence diagram. The method of this algorithm inspired by the insect called an ant-lion. So those by trapping the best items and compare them choose the optimal situation. In the other words this algorithm work by preliminary data feed into software and if the preliminary data is more accurate the results will be better. Therefore we could earn more accurate preliminary data by using the powerful marine design software and input this information as a preliminary data for the ALO algorithm.