Our focus in this paper is on using the improved Genetic Algorithm (IGA) to optimize Gabor filters for vehicle detection. The Gabor filters parameters are encoded in a chromosome and optimized using genetic operators. Considering the deficiency of the traditional crossover operator at global searching,...

The LuGre tire model is a dynamic tire friction model which can describe the dynamic characteristic, but because of its high nonlinearity, it is very difficult to identify the parameters of the model. A two-step method for the parameter identification of LuGre tire model based on genetic algorithms is...

The multiattribute utility function was used to build a model of project’s time, quality and cost synthetically management under resource restriction in this paper, and then introduced the genetic algorithm to solve the model. Finally, advanced an example, and gave an alternative scheme of synthetically...

This paper adds genetic algorithm (GA) to Linear Quadratic Regulator (LQR) and presents a new optimal control method-GALQR. The GALQR control method uses GA to optimize the weight matrices of LQR and adopts the divisional removing searching mechanism to insure getting the global optimal results. The...

Intelligent decision support system performance depends on knowledge base quality. With the decision problem and knowledge base becoming more complicated, it is necessary to provide effective method to optimize the management of knowledge base. Based on detailed analyzing of running characteristics and...

Marriage in Honey Bees Optimization (MBO) is a swarm-intelligence method. To improve its optimization performance, the Nelder-Mead method is used combined with MBO. The paper proposed an improved Marriage in Honey Bees Optimization algorithm. The local characteristic is obtained by Nelder-Mead Method...

This paper takes integrated optimization of Material Requirements Planning (MRP) and Capacity Requirements Planning (CRP) as research intention, builds a novel multi-objective optimization algorithm of MRP and CRP based on genetic evolution, and designs the proper genetic operators which take the integrated...

It’s a hot research issue to integrate information technology into the Government Resource Planning (GRP). The indices of current GRP system are just with expression of “investment” form which is disconnected with “output” form for control indices and “result” form for evaluation indices. Thus the current...

This paper mainly studies on the valid solution algorithm for multidimensional assignment problem of data association, proposes a heuristic searching algorithm for multidimensional assignment problem on the basis of order-searching algorithm and m-best algorithm, and accordingly presents a heuristic...

Automatic drills are widely used in the process of manufacturing printed circuit boards. After a circuit is designed using very advances softwares, the pins for different components and the nodes through which the layers are connected are rigorously drilled by an automatic drill. At the present paper,...

In this paper, a multi-objective shortest path evolutionary algorithm (MOSPEA) is presented for an undirected network. The algorithm differs from the others as it uses an external set to maintain non-dominated solutions and different selection strategy. Property of MOSPEA about stochastic convergence...

In the actual network the information collected through routing protocols is uncertain with the expansion of network size and complexity. In this paper, the QOS routing problem is investigated in the networks environment with uncertain parameters. The fuzzy set theory is used to define the relationship...

Differential evolution algorithm (DE) is a simple efficient optimization technique, but it is easily trapped in the local optima. This paper presents an improved differential algorithm (IDE) based on Alopex (Algorithms of Pattern Extraction) where “noise” strategy according to the learning experience...

Local search is mainly implemented by the reproduction and crossover operation, global search is assured by the mutation operation in conventional genetic algorithm. In order to enhance the global search ability, three new mutation operators are proposed based on the idea that big change into small and...