The Experts below are selected from a list of 49626 Experts worldwide ranked by ideXlab platform
Tong Zhao - One of the best experts on this subject based on the ideXlab platform.
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wireless multi hop network scenario emulation with minmax error
Local Computer Networks, 2006Co-Authors: Huizhou Zhao, Wei Yan, Tong ZhaoAbstract:In this paper, we propose a novel approach to emulate an arbitrary wireless multi-hop network scenario in a fixed wireless testbed, in which every node is equipped with a variable attenuator. We formulate the core Problem of wireless multi-hop network scenario emulation as a Constrained Optimization Problem and propose an optimum algorithm.
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LCN - Wireless Multi-hop Network Scenario Emulation with MinMax Error
Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006Co-Authors: Huizhou Zhao, Wei Yan, Tong ZhaoAbstract:In this paper, we propose a novel approach to emulate an arbitrary wireless multi-hop network scenario in a fixed wireless testbed, in which every node is equipped with a variable attenuator. We formulate the core Problem of wireless multi-hop network scenario emulation as a Constrained Optimization Problem and propose an optimum algorithm.
Huizhou Zhao - One of the best experts on this subject based on the ideXlab platform.
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wireless multi hop network scenario emulation with minmax error
Local Computer Networks, 2006Co-Authors: Huizhou Zhao, Wei Yan, Tong ZhaoAbstract:In this paper, we propose a novel approach to emulate an arbitrary wireless multi-hop network scenario in a fixed wireless testbed, in which every node is equipped with a variable attenuator. We formulate the core Problem of wireless multi-hop network scenario emulation as a Constrained Optimization Problem and propose an optimum algorithm.
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LCN - Wireless Multi-hop Network Scenario Emulation with MinMax Error
Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006Co-Authors: Huizhou Zhao, Wei Yan, Tong ZhaoAbstract:In this paper, we propose a novel approach to emulate an arbitrary wireless multi-hop network scenario in a fixed wireless testbed, in which every node is equipped with a variable attenuator. We formulate the core Problem of wireless multi-hop network scenario emulation as a Constrained Optimization Problem and propose an optimum algorithm.
Hongyong Jing - One of the best experts on this subject based on the ideXlab platform.
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dynamic multi objective differential evolution for solving Constrained Optimization Problem
Congress on Evolutionary Computation, 2011Co-Authors: Lina Jia, Sanyou Zeng, Dong Zhou, Aimin Zhou, Hongyong JingAbstract:Dynamic Constrained multi-objective differential evolution(DCMODE) is designed for solving Constrained Optimization Problem(COP). Main feature presented in this paper is to construct dynamic multi-objective Optimization Problem(DMOP) from COP. The two evolved objectives are original function objective and violation objective. Constraints are controlled by dynamic environments, where the relaxed constraints boundaries are gradually tightened to original boundaries. After this dynamic process, DMOP solutions are close to COP solution. This new algorithm is tested on benchmark Problems of special session at CEC2006 with 100% success rates of all Problems. Compared with several state-of-the-art DE variants referred in this paper, our algorithm outperforms or performs similarly to them. The satisfactory results suggest that it is efficient and generic when handling inequality/equality constraints.
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dynamic Constrained multi objective model for solving Constrained Optimization Problem
Congress on Evolutionary Computation, 2011Co-Authors: Sanyou Zeng, Aimin Zhou, Shizhong Chen, Jiang Zhao, Hongyong JingAbstract:Constrained Optimization Problem (COP) is skillfully converted into dynamic Constrained multi-objective Optimization Problem (DCMOP) in this paper. Then dynamic Constrained multi-objective evolutionary algorithms (DCMOEAs) can be used to solve the COP Problem by solving the DCMOP Problem. Seemingly, a complex DCMOEA algorithm is used to solve a relatively simple COP Problem. However, the DCMOEA algorithm can adopt Pareto domination to achieve a good tradeoff between fast converging and global searching, and therefore a DCMOEA algorithm can effectively solve a COP Problem by solving the DCMOP Problem. An instance of DCMOEA was used to to solve 13 widely used constraint benchmark Problems, The experimental results suggest it outperforms or performs similarly to other state-of-the-art algorithms referred to in this paper. The efficient performance of the DCMOEA algorithm shows, to some extend, the DCMOP model works well.
Ching-feng Wen - One of the best experts on this subject based on the ideXlab platform.
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Steepest-Descent Approach to Triple Hierarchical Constrained Optimization Problems
Abstract and Applied Analysis, 2014Co-Authors: Lu-chuan Ceng, Cheng-wen Liao, Chin-tzong Pang, Ching-feng WenAbstract:We introduce and analyze a hybrid steepest-descent algorithm by combining Korpelevich’s extragradient method, the steepest-descent method, and the averaged mapping approach to the gradient-projection algorithm. It is proven that under appropriate assumptions, the proposed algorithm converges strongly to the unique solution of a triple hierarchical Constrained Optimization Problem (THCOP) over the common fixed point set of finitely many nonexpansive mappings, with constraints of finitely many generalized mixed equilibrium Problems (GMEPs), finitely many variational inclusions, and a convex minimization Problem (CMP) in a real Hilbert space.
Wei Yan - One of the best experts on this subject based on the ideXlab platform.
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wireless multi hop network scenario emulation with minmax error
Local Computer Networks, 2006Co-Authors: Huizhou Zhao, Wei Yan, Tong ZhaoAbstract:In this paper, we propose a novel approach to emulate an arbitrary wireless multi-hop network scenario in a fixed wireless testbed, in which every node is equipped with a variable attenuator. We formulate the core Problem of wireless multi-hop network scenario emulation as a Constrained Optimization Problem and propose an optimum algorithm.
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LCN - Wireless Multi-hop Network Scenario Emulation with MinMax Error
Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006Co-Authors: Huizhou Zhao, Wei Yan, Tong ZhaoAbstract:In this paper, we propose a novel approach to emulate an arbitrary wireless multi-hop network scenario in a fixed wireless testbed, in which every node is equipped with a variable attenuator. We formulate the core Problem of wireless multi-hop network scenario emulation as a Constrained Optimization Problem and propose an optimum algorithm.
