TY - JOUR A2 - Liu, Wanquan AU - Wang, Meihua AU - Xu, Fengmin AU - Xu, Chengxian PY - 2012 DA - 2012/07/12 TI - A Branch-and-Bound Algorithm Embedded with DCA for DC Programming SP - 364607 VL - 2012 AB - The special importance of Difference of Convex (DC) functions programming has been recognized in recent studies on nonconvex optimization problems. In this work, a class of DC programming derived from the portfolio selection problems is studied. The most popular method applied to solve the problem is the Branch-and-Bound (B&B) algorithm. However, “the curse of dimensionality” will affect the performance of the B&B algorithm. DC Algorithm (DCA) is an efficient method to get a local optimal solution. It has been applied to many practical problems, especially for large-scale problems. A B&B-DCA algorithm is proposed by embedding DCA into the B&B algorithms, the new algorithm improves the computational performance and obtains a global optimal solution. Computational results show that the proposed B&B-DCA algorithm has the superiority of the branch number and computational time than general B&B. The nice features of DCA (inexpensiveness, reliability, robustness, globality of computed solutions, etc.) provide crucial support to the combined B&B-DCA for accelerating the convergence of B&B. SN - 1024-123X UR - https://doi.org/10.1155/2012/364607 DO - 10.1155/2012/364607 JF - Mathematical Problems in Engineering PB - Hindawi Publishing Corporation KW - ER -