ANT COLONY OPTIMIZATION ALGORITHM

Direction of arrival estimation has turned out to be a substantial part of many applications like channel characterization, car tracking (Danneville et al., 2005), source localization in radar and sonar (Godara, 2002), receiver algorithm design and co-channel interference reduction (Christ[r]

Optimization problems in molecular biology is one of the most investigated fields in computer science today; one notable case is the prediction of RNA structures by optimizing algorithms. ACO (Ant Colony Optimization) algorithm is th[r]

Bài viết trình bày các kết quả nghiên cứu về việc sử dụng thuật toán ACO (Ant Colony Optimization) đã cải tiến để dự đoán cấu trúc bậc hai RNA, đồng thời đưa ra hướng nghiên cứu tiếp theo cần giải quyết.

_4.2._ _ALGORITHM DERIVED FROM A JOINT_ _OPTIMIZATION CRITERION_ We have seen that the inverse filter criterion solves the prob-lem of blind source extraction by using a contrast functio[r]

Standard interior point methods have complexity that is cubic with respect to the dimensionality of the input space (i.e., with respect to
K , the number of users), due to the complexity of the inner Newton iterations [2]. The minimax-based approach in [8] also has complexity that is cubic in K be[r]

From the simulation results, it is clear that the proposed MU-MIMO linear precoding with LMMSE detection based on particle swarm optimization scheme outperforms the BD algorithm and the [r]

NETWORK OF KALMAN FILTERS BASED ON THE LIKELIHOOD RATIO TEST: DETECTION ALGORITHM For the optimization of the proposed receiver, we propose to incorporate a decision feedback assuming th[r]

TABLE 6.3 Optimization Techniques Algorithm TECH= trust region Method TRUREG Newton-Raphson method with line search NEWRAP Newton-Raphson method with ridging NRRIDG quasi-Newton methods [r]

In addition to image and video processing algorithm optimization using different image quality metrics, the image/video enhancement and analysis for 3D visualization plays an important r[r]

In addition to image and video processing algorithm optimization using different image quality metrics, the image/video enhancement and analysis for 3D visualization plays an important r[r]

To solve MOBPP-2D problems, a multiobjective evolutionary particle swarm optimization algorithm MOEPSO is proposed.. Without the need of combining both objectives into a composite scalar[r]

The algorithm implemented in MATLAB that uses the INTLAB package supporting interval calculations and automatic differentiation solves the bound con-strained global optimization problem.[r]

Abstract. Several optimization schemes have been known for convex optimization problems. However, numerical algorithms for solving nonconvex optimization problems are still underdeveloped. A progress to go beyond convexity was made by considering the class of functions represent[r]

multicommodity flow problems , SIAM Journal on Computing 5(4), 1976, pp 691-703.
[13] W.J. Gutjahr. ACO Algorithms with guaranteed convergence to the optimal
solution problem , Info.Processing Lett., vol.83, no.3, 2002, pp 145-153.
[14] Hoang Xuan Huan & Dinh Trung Hoang.[r]

Over the last few years, convex optimization has found a place among the most useful techniques for algorithm design and analysis of wireless communication systems, and has become a stan[r]

TRANG 1 Proceedings of the 12th Conference of the European Chapter of the ACL, pages 442–450, OPTIMIZATION IN COREFERENCE RESOLUTION IS NOT NEEDED: A NEARLY-OPTIMAL ALGORITHM WITH INTENS[r]

The use of the well-known sim-plex optimization algorithm for finding the minimum SAD is motivated by the fact that the simplex technique has the capacity to quickly change search direct[r]

In fact, the output of the proposed algorithm is the joint optimization of the routing path, and base-station selection to achieve the maximum total throughput in the system, which in co[r]

5. Conclusions
This research is motivated by our interest in developing and improving computational capability of MDO system. Considerable MDO work was successfully performed for a tested wing to validate several suggested algorithms that can be easily applied for more complex and practical proble[r]

The MTP problem with adaptive MBS selection can be also solved by using the iterative optimization algorithm, where at each iteration the power vector is updated by P[_t_+1]_=m_P[_t_]_._[r]