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Establishment of the optimal objective function is the first and a vital step for optimum design. The foundation pit engineering design is a procedure of multi-objective optimization and multi-objective decision. Some of these objectives can be quantitatively calculated, while others cannot. In order to make a comprehensive analysis of the effects of various factors on the optimum design of foundation...
To find all extreme points of multimodal functions is called extreme problem, which is a well known difficult issue in optimization fields. Applying the ant colony optimization (ACO) to solve this problem is rarely reported. The method of applying ACO to solve extreme problem is explored in this paper. Experiments show that the method presented in this paper generates solution with high quality, and...
The impact of inaccurate channel knowledge on the system performance of a cooperative multi-cell system is studied. Using optimization theory, we investigate the performance degradation due to optimizing the collaborative downlink transmit signals of multiple base stations (BSs) based on inaccurate channel knowledge. Two important sources of channel knowledge inaccuracy are considered: quantization...
This letter proposes an optimal transmit strategy to maximize the cut-set bound on the ergodic capacity for the two-hop decode-and-forward (DF) MIMO relay system with the mean and covariance feedback. Upon the analysis of the ergodic capacity, we show that the optimal transmit beamforming directions in the first hop are along the eigenvectors of the difference between the source-relay channel and...
This paper presents a distributed algorithm for a mobile sensor network to track targets with unknown motion. We formulates the target tracking as a multi-objective optimization problem which integrates the tracking quality, the energy saving and the network connectivity. To cope with sensing noises, we use the determinant of the covariance matrix of target estimation as the tracking quality measure...
The model of Fuzzy-neural networks (FNN) in the complicated nonlinearity controlling field is difficult to ascertain and dependent on the manpower excessively, According to actual complicated nonlinear system environment and Fuzzy-neural network parameters, the system design of machine generating the adjustable fuzzy-neural networks parameter will be structured automatically based on Extenics theory...
The system capacity of a cellular wireless system consisting of a large number of fixed location base stations (BSs) and random location mobile stations (MSs) is studied. Assuming that the BSs in a multi-cell system are connected to a centralized controller which has access to channel state information (CSI), it is possible to optimize transmissions such that capacity is maximized. This paper discusses...
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