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Distributed electrical vehicle drive scheme has being a widely discussed issue, especially the Front and Rear wheel Independent Drive(FRID) strategy, which has the advantage of low costing, simple structure, and easy to implement. The promotion of efficiency using FRID is discussed in this paper, then an motor and battery efficiency optimize algorithm of front and rear motor torque distribution are...
This study aims to solve the scheduling problem of batch processing and reentrant in semiconductor manufacturing by using a partheno-genetic algorithm based adaptive dispatching method (PGABADM). First, partheno-genetic algorithm is proposed to solve the scheduling problem according to their characteristics. Then it generates solutions for the jobs with different distribution of arrival time and due...
In order to achieve collaborative learning in network learning system, two primary questions must be solved. First is how to choose and quantify the proper features to build user model. Second is how to divide the users into optimal teams to play the best effectiveness of collaborative learning. Based on the collaborative learning theory, its practical research, and the conditions of network learning...
Based on the hydraulic-mechanical-electrical mathematical models provided by IEEE working group, the non-elastic water hammer effect was consided for hydro turbine regulating system of single-machine and single-conduit without surge tank. And then, genetic algorithm was applied to optimal tuning of hydraulic turbine governor PID gains. The computer simulation results indicate the effectiveness of...
This study proposed an approach which simultaneously considers the properties of cost and quality by minimum value of expected cost per hour which is restricted by maximum value of type I error (αU) and minimum value of power (pL) to determine three parameters (including sample size, sampling interval between successive samples, and the control limits) when an x bar chart supervises a manufacturing...
The multi-criteria degree-constrained minimum spanning tree problem (mcd-MST) is an important issue in wireless sensor networks (WSNs) topology control. However, the multi-criteria MST (mc-MST) is NP-hard problem and mcd-MST is a typical mc-MST. In this paper, we present an improved discrete particle swarm optimization (PSO) approach for mcd-MST which gives a good compromise between many key objectives...
The linguistic interface is a group of fuzzy sets and their corresponding membership functions applied to define the linguistic terms used in fuzzy modeling, granular computing and computing with words. The fuzzy C-means algorithm (FCM) is widely used in the generation of membership functions for linguistic terms from historical data. However, most of FCM-based membership function generation algorithms...
When mining non-linearity function with large number of variables, traditional methods cannot effectively reduce the conditional attributes. To solve the problem, this paper proposes GEP-ARFM model. The model includes the concepts of marginal gene, marginal fitness, and revised fitness and the algorithms of GEPAMF, GARFM-GEP, and SARFM-GEP. The comparison experiments show that (1) both GARFM-GEP and...
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