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Regarding to the relative slow convergence of traditional independent component analysis with reference (ICA-R) methods, an improved ICA-R algorithm is proposed referring to a novel objective function, which is derived by adding the reciprocal of similarity measure to the standard contrast function, then the Lagrange multiplier method is adopted on the novel objective function, and the optimal weighted...
Rail transit plays an increasingly important role in the public transportation system, and effectively reducing its headway is of great practical significance. An optimization method is proposed to minimize headway of mainline in moving block by comprehensively considering trip time. A particle swarm optimization (PSO) algorithm is developed to search for optimized points and value of speed limit...
Nowadays taking a photo from smartphones is widely popular because of their simplicity and convenience, but the images from them sometimes suffer from illumination and color distortion, so an enhancement of these images are necessary. There are many kind of image enhancement have been proposed. One of them using metaheuristic. In this paper we pursue efficient metaheuristic algorithms for optimal...
In this paper, a methodology for the optimal economic design of a hybrid energy system is presented. The novelty of the proposed methodology lies in the fact that a convex optimization approach is used - allowing a solution to be found very efficiently compared to existing techniques. A simulation model for a grid-connected PV/wind/diesel hybrid system is implemented in Math works Simulink (TM). Using...
Most of multiobjective optimization algorithms consider multiple objectives as a whole when solving multiobjective optimization problems (MOPs). However, in MOPs, different objective functions may possess different properties. Hence, it can be beneficial to build objective-wise optimization strategy for each objective separately. This paper presents a single objective guided multiobjective optimization...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
In this paper, we propose a cross-layer optimization approach that exploits retransmission diversity in wireless CDMA communications. Conventionally, data packets that are not correctly detected are usually dropped. These dropped packets can be used to help data packet detection. By exploiting all the retransmitted packets, data packets can be correctly detected with higher probability. The proposed...
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