摘要
目的研究带有二次约束的非凸二次规划问题。方法采用二级松弛技术、超矩形缩减与剪支技术。结果与结论提出了确定该类问题全局最优值的分支定界缩减算法,并证明了算法是收敛的,并用数值算例验证了算法的可行性与有效性。
Purpose—To study a class of non-convex quadratic programming problem with quadratic constraints.Methods—Two-level relaxation technique and a rectangular reduction-cut strategy are used to solve the aforesaid problem.Conclusion and Results—The convergence of the new algorithm is proved in addition to presenting a new branch-and-bound reduced algorithm for determining the global optimal value.The feasibility and effectiveness of this algorithm are verified by numerical examples.
引文
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