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This paper presents a novel Biogeography Based
Optimization (BBO) algorithm for solving multiobjective
constrained optimal power flow problems in power system. In
this paper, the feasibility of the proposed algorithm is
demonstrated for IEEE 30bus system with three different
objective functions and it is compared to other well
established population based optimization techniques. A
comparison of simulation results reveals better solution
quality and computation efficiency of the proposed algorithm
over particle swarm optimization (PSO), Real Coded Genetic
algorithm (RGA) for the global optimization of multiobjective
constrained OPF problems.
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