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Sudoku is a NP complete combinatorial number placement puzzle which has been solved using various algorithms including evolutionary algorithms. In this paper, we propose a multistage genetic algorithm (GA) for solving Sudoku. In this algorithm, the group table concept has been incorporated. This work progresses with a couple of cycles. In every cycle GA works for finding better solution. The each...
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 approach, extreme solutions of the current non-dominated...
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