“…So they prove to be a bit slow in their approach towards the global optimum solution. With the development in the computer technology, many new population based heuristic optimization techniques have been introduced, like differential evolution (DE) [8], hybrid evolutionary programming (HEP) [9], evolutionary programming (EP) [10], civilized swarm optimization (CSO) [11], particle swarm optimization (PSO) [12], craziness based PSO (CRPSO) [13], hybrid PSO (HPSO) [14], modified PSO (MPSO) [15], hybrid GA (HGA) [16], genetic algorithm (GA) [17],adaptive real coded GA (ARCGA) [18], bacteria foraging optimization (BFO) [19], modified artificial bee colony (ABC) [20], modified biogeography based optimization (BBO) [21], seeker optimization algorithm (SOA) [22], ant colony optimization (ACO) [23], tabu search (TS) [24], and quasi oppositional BBO (QOBBO) [25] , oppositional BBO (OBBO) [26], harmony search algorithm (HSA) [27] for solving ELD problems. Other optimization algorithms have been proposed to solve the ELD problem, like the opposition based harmony search algorithm (OHSA) which was introduced by [28].…”