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Aiming at the the multi-objective disassembly planning problem, this paper proposed a multi-objective intelligent optimization algorithm base on Pareto set. To improve disassembly planning efficiency the ant colony optimization was utilized. The disassembly sequence feasibility was guaranteed by disassembly matrix, and the method of precedence relation inference was given. There are three major optimization...
The prediction of the satellite atomic clock errors plays an important role in the work on time and frequency. Aiming at the poor performance of short term prediction of navigation satellite atomic clock errors, a method based on the least square support vector machine (LS-SVM) optimized by improved artificial fish swarm algorithm (IAFSA) is proposed to obtain accurate satellite clock errors. The...
Structure optimization and the application of light material and process were the two main ways of integral body lightweight. So the ultra high strength steel was applied to the anterior anti-collision beam of integral body was the aim of the study. In this study, the performance development of frontal impact was taken for the example, the material selected of the lightweight was analyzed, and the...
QoS multicast routing problem is a nonlinear combination optimization problem, which has been proved to be a NP complete problem. a hybrid algorithm with ant colony optimization algorithm(ACO) and particle a warm optimization algorithm(PSO) is presented. The ACO-GA algorithm absorbs the merits of ACO and GA respectively. In hybrid algorithm, the position update of PSO is used to regulate the solution...
We describe a kind of supply chain optimization problem as a commodity stream routing problem upon a stochastic flow network. We divide the optimization problem to two parts: Firstly, establish model to calculate the optimal commodity stream allocation policy on all minimal paths; secondly, convert these allocation policy on all minimal paths to the optimal routing policy on all arcs. A multi-objective...
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