In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimisation algorithm Ant Lion Optimizer (ALO). ALO is inspired by the hunting mechanism of Ant Lions in the natural environment. ALO has a fast convergence rate due to use of roulette wheel selection method. In order to resolve the optimal power flow problem, standard IEEE-30 bus system is used. ALO is implemented for the solution of proposed problem. The problems considered in the OPF problem are Fuel Cost Reduction, Voltage Deviation Minimization, and Voltage Stability Improvement. The results obtained by ALO is compared with other techniques such as Firefly Algorithm (FA) and Particle Swarm Optimizer (PSO). Results shows that ALO gives better optimisation values as compared with FA and PSO that confirms the effectiveness of the suggested algorithm.