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This paper focuses on the problem of seabed survey mission with multiple target points distributed in large scale area. To complete the survey with AUVs in minimum cost, a two-step procedure using greed strategy is presented. In the first step, the locations of so-called anchor points are found by executing k-means algorithm iteratively. In the second step, an ant-cycle system is used to find out...
Chaotic neural networks have been proved to be strong tools to solve the optimization problems. In order to escape the local minima, a new function is introduced into the self-feedback item of the transiently chaotic neural network, this paper proposes chaotic neural network with nonlinear function self-feedback by improving the self-feedback item of Chen and Aihara's network making that the network...
Hydrothermal coordination problem (HTC) is to minimize fuel cost of thermal units under a series of constraints by means of optimization techniques. Semidefinite programming (SDP) is an emerging powerful tool to do so. This paper presents four different programming skills used in transforming HTC into its corresponding SDP models. Through a HTC test case, the computational efficiencies and the results...
Virtual Machine Consolidation (VMC) is known as a crucial method to improve system resource utilization and service level agreement in a datacenter. In this paper, we propose a novel algorithm named Segmentation Iteration Correlation Combination (SICC) expressly for VMC. The SICC integrates the methods of statistic regression modeling, Pearson correlation coefficient analysis and off-line Bin packing...
High precision assembly processes using industrial robots require the process parameters to be tuned in order to achieve desired performance such as cycle time and First Time Through (FTT) rate. Some researchers proposed methods such as Design-of-Experiment (DOE) to obtain optimal parameters. However, these methods only discuss how to find the optimal parameters if the part and/or workpiece location...
Each iteration, according to MMAS algorithm, should make sure every path's pheromone can't overstep the limitation itself, based on the pheromone update, the nearest domain selection strategy, local optimization, Max - Min Ant System in path selection and initial solution structure. In this paper, the program is written to optimize the MMAS, and then is applied on the optimization SMT placement sequence...
Elevators play an important role in today urban life. The elevator group control (EGC) problem is related to many factors, such as stochastic traffic states, the number of customers, running condition, and it is difficulties in analysis, design and control. In order to increase the elevators running efficiency and quality of service, the optimizing control strategy of elevators is studied in this...
To utilize P2P as the carrying technology for HD-VOD within MAN, the traffic distribution on every hierarchical links is analyzed, which shows the most traffic would pass through the core switch and induces the jam in the backbone. The optimizing method is proposed to eliminate the jam by selecting the nearest source node as the preferred. The analysis proves that the traffic through the core switch...
Although there are a large number of researches on inventory control of supply chain, the majority of the literatures did not take account of productpsilas deterioration while studying inventory system of multi-stage supply chain. On basis of the previous literatures, this paper studies inventory control of perishable product in one-to-one supply chain, obtains optimal retailerpsilas inventory strategy...
Traction robot with ElectroMagnetic Clutch (EMC) is used in horizontal well logging. An improved method of multidomain optimization is proposed in this paper. By means of coupling the solenoid force with spring force, the mathematical model was built according to EMC running state. The optimization is processed by MATLAB optimum toolbox. The 3D model of the optimized results was established by Inventor...
A novel optimal control strategy based on simple model is presented, which is easy to be realized adopting digital way for DC-DC converter. The discrete model of converter is founded based on state transfer matrix and power-exponent functions are linearized to obtain simple discrete model. The object function for optimization control is designed based on the simple model of converter and the optimal...
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