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中文摘要：
文章提出了一种求解约束优化问题的新方法。它把约束优化问题转化为双目标优化问题。一个目标是原问题的目标．另一目标是由约束条件转化得到。转化得到的双目标优化与一般的双目标优化问题不同在于它偏好那些使约束条件满足的最优解。我们利用动态权值将这一带有偏好的双目标优化转化为无约束的单目标优化，并使其满足偏好特性。我们对四个标准测试函数进行了数据仿真实验．实验结果表明该算法是有效的。
英文摘要：
A new approach is presented to handle constrained optimization using evolutionary algorithms.The new technique treats constrained optimization as a two-objective optimization.One objective is the original objective function, the other is transformed from constrains.The two-objective optimization problem is different from common two-objective optimization problem.It prefers to the solutions that satisfy constraints,We transformed the two-objective optimization with preference into noncondtrained optimization using dynamic weights.The simulations are made on four widely used benchmark problems,and the results indicate the proposed algorithm is effective.
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