A self-optimizing network is an effective method for network management and maintenance in Long Term
Evolution, which supports the co channel deployed heterogeneous networks and significantly increases the quality of service.
The Zone based Load Balancing uses several game theoretic approaches to carry out load balancing but it results in
uncoordinated load distribution among multiple cells. It may cause the problem of hidden cell case and slow convergence
issues. Along with this problem the Nash Equilibrium used in game theory algorithm cannot be obtained, it may continuously
finding solution for long duration. It can be solved by introducing the innovative method of meta heuristic search algorithm
called Multi objective Bat Algorithm. It is very promising and could outperform the existing algorithms. The Multi Objective
Bat algorithm combined with the priori expert knowledge reduces search space and computational time required for designing
the MLB controller. The Multi Objective Algorithm provides the best optimization solution in short period of time and the
problem of slow convergence time gets eliminated.