“…The LR method provides a fast solution but it suffers from problem of numerical convergence. In order to get better solution, Artificial Neural Networks (ANN) techniques such as Hopfield Neural Network (HNN) [7,8], Heuristics methods such as Genetic Algorithm (GA) [9,10] and Simulated Annealing [11,12], Meta-Heuristic methods like Evolutionary Programming (EP) [13], Particle Swarm Optimization (PSO) [14,15], Ant Colony Search Algorithm (ACSA) [16] and Tabu Search Algorithm (TSA) [17] have been effectively used for solving the UC problem. Hybrid methods such as Lagrangian Relaxation and Genetic Algorithm (LRGA) [18], Lagrangian Relaxation and Particle Swarm Optimization (LRPSO) [19], Evolutionary Programming with Tabu Search Algorithm (EP-TSA) [20] and LR-EP [21] have been used for solving the UC problem.…”