But in these methods [1-10, 12-15], the selection of parameters directly affects the performance of the algorithm. To overcome this, later on population based evolutionary algorithms became common due to their simplicity, ease of application and ability to provide optimal or near optimal solution. For last decade, authors proposed PSO based approaches to find maximum loadability limits [9, 16-18] because of its simplicity. But it is found that sometimes PSO goes into local minima. To overcome this problem authors implemented other methods in addition with PSO. Authors implemented genetic algorithm in addition with PSO to solve maximum loadability limit problem for small size network [16]. Later on [9] solved the problem using Multi agent based PSO. Authors implemented particle swarm optimization and breeding feature of Genetic algorithm to find maximum loadability limits and cost of generation for the same [9].