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Infeasibility driven approach is proposed in this paper for constrained bi-objective optimization using evolutionary algorithm. The idea is motivated from one of the constraint handling techniques in which infeasible solutions are preserved in the population for focusing the optimal solution lying on the boundary of feasible region. In the proposed(More)
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