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In this paper, aim at the characteristics of multi-objective multi-constrained and difficult to solve of the three-dimensional container-packing problem, we propose to solve the problem with improved differential evolution (IDE) algorithm. By overloading the evolutionary operation of differential evolution algorithm that we can deal with discrete optimization problems effectively. Define the adaptive...
Crossover is the most important step in genetic algorithm, which passes on good genes of the parents to the next generation. However, the crossover operator can't ensure the offspring finding the globally optimum because of its blind search. A weighted crossover operator is proposed to overcome the disadvantages. Weighted values are calculated according to the adaptive values of the parents. One offspring...
The structures approximation analysis technology is studied based on neural network. The back-propagation neural network model corresponding to the size parameters of the hydraulic press' crossbeam and its displacement or stress is generated to replace the original finite element model in this paper. Using the saturated multi-level table of orthogonal arrays to choose the trained samples could make...
Based on a cab suspension system of a commercial vehicle, a multi-body dynamic model was built on ADAMS Software for the vibration modal analysis. An Experiment was taken for the verification of the model's accuracy. Through the energy decoupling theory, the cab suspension system was optimized. By analyzing the optimized parameters, the suspension's stiffness and position were determined, which gave...
A multi-body dynamics model of commercial vehicle cab suspension was built with ADAMS through the interactive method. The cab suspension model was simulated with vibration transmission characteristics methods. The model accuracy was testified by comparing with both bench test and road test results. The simulation model was optimized by Sequential Quadratic Programming method, and the stiffness and...
In order to reduce the congestion of Ad Hoc network and increase the speed of routing searching, the link-disjoint paths algorithm based on ant colony optimization is proposed in this paper. The new algorithm introduces the intelligence and positive feedback of ant algorithm to link-disjoint paths algorithm to improve the probability of path optimization, sets the age domain of ant to reduce immersion,...
With the reformation of China's electric power and power coal system, several difficulties emerge in planning annual coal purchase and allocation schedule, e.g., with multiple sources, multiple destinations, different shipping vessels. So it is important to research on the transportation and storage problems for regional power coal allocation planning of China. In this study, these concerns are formulated...
Proposesing a multi-state adaptive ant pheromones mechanism base on researching on ant colony algorithm model, pheromones update and pheromones selection had been improved. Make up the traditional ant colony algorithm for the calculation of distribution network planning that is slow and easy to fall into local optimal solution. And improved the convergence of the optimal solution. The validity of...
In this paper, we deal with the min-max problem of the stress of the structural elements in the structural topology optimization. A generalized KS function is presented which transforms the local stress to global strain energy of structure through Von Mises Criterion. The ICM method is employed for solving the topology optimization problem. Some classic numerical examples are presented which provide...
The authors first describe the construction of the imaging circuit model of the flat panel display and propose the common principles for the grayscale imaging. Based on the circuit system and the principles, the mathematical model is then established and the key parameters for evaluation of the scan performance are defined. With the experimentation of a flat panel display, the authors present the...
Positional analysis needs to be made in the Go game, and it is true for professional players or Go program. The present Go program regards the territory scores as a major standard in its positional analysis, which is a flawed approach. In this article, an approach is proposed to calculate the winning probability, and the model parameter is further optimized by genetic algorithm. Through this approach,...
In this paper, we present a new Neighbor Sharing Selection based Agglomerative fuzzy K-means (NSS-AKmeans) algorithm for learning optimal number of clusters and generating better clustering results. The NSS-AKmeans can identify high density areas and determine initial cluster centers from these areas with a neighbor sharing selection method. To select initial cluster centers, we propose an agglomeration...
A global optimization technique for identifying an output-error fractional order model is proposed. The proposed technique use a modified version of Hansen algorithm. It is capable of estimating the fractional orders and the parameters, with guaranteed convergence. The technique is applied to identify a fractional order system in deterministic and stochastic context.
Great effect on urban climate, hydrological condition, surface condition and urban operation caused by urbanization process, even substantial changes have been taken place, includes heat island effect, decrease of green cover percentage, urban storm water logging, increase of accidents of urban lifeline systems, and so on. At the same time, urban storm water logging brought great negative effect on...
Rollover is one of the main traffic accident forms for vehicle. According to the datas recently, rollover has become the second most serious accident. However, the study on rollover in China is at the beginning. The study on vehicle rollover is based on the theories of rollover. In order to optimize vehicle configuration,and enhance vehicle rollover stability,and ensure the road safety, rollover model...
BP neutral network is a method to fuse datas from several dissimilar sensors for more precise results, but its low convergence rate and easily falling into local minimum often decrease the fusion precision. In order to overcome this drawback, we combined BP neutral network with genetic algorithm, and optimized connection weights and threshold value of BP neutral network by genetic algorithm. Then...
Large-scale natural or man-made disasters have the potential to cause great loss of life, human injury and extreme property damage. Evacuation from areas at risk is often one of the most feasible strategies that can be undertaken in response to these types of disasters. Evacuating a large population in the shortest possible time is an extremely complicated and difficult task, which primarily relies...
The mission requirements are analyzed and the optimization model of responsive satellite constellation design which can simultaneously optimize constellation structure and orbit parameters is built. As the number of variables involved in the model is large, classical genetic algorithms will have difficulty in obtaining satisfying results in acceptable time. The hierarchical genetic algorithm is designed...
An improved ant colony algorithm, differential evolution chaos ant colony optimization (DEACO) algorithm, was proposed to plan an optimal collision-free path for mobile robot in 3-D environment. It utilized differential evolution algorithm to update pheromone and chaos disturbance factor was added when pheromone updates for possible stagnation phenomenon. So it enhances escaping capability of algorithm,...
To effectively avoid congestion and take full advantage of bandwidth inside a network, routing optimization is needed for path selection over a set of equal-cost-multi-paths. In this paper, a Link-Criticality-based ECMP routing optimization algorithm is proposed. As the traffic in the network overlaps on some links, LCER selects the path with least link average utilization and hops for the ECMPs....
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