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The following topics are dealt with: genetic algorithm; information security; video and image processing; intelligent control; system theory and control theory; data mining; knowledge discovery; intelligent computing; intelligent systems; database engineering; software theory; and wireless and mobile computing.
Global optimization methods have been increasing under consideration for complicated trajectory optimization problems. A hybrid optimization method combining the global optimal properties of genetic algorithms with the local optimal characteristic of sequential quadratic programming has been developed. The genetic algorithm initially searches the parameter space for candidate gravity-assisted planetary...
Due to the “premature” phenomenon and poor local search ability of genetic algorithm, an improved genetic algorithm, adaptive and parallel simulated annealing genetic algorithm based on cloud model (PCASAGA), is proposed in this paper. This algorithm integrates cloud model, multi-populations optimization mechanism, parallel techniques, simulated annealing algorithm and adaptive mechanism. It applies...
A genetic algorithm (GA) maintained by binary heap and transitive reduction for addressing partner selection problem (PSP) in virtual enterprise is proposed. Compared with the traditional GA for addressing PSP, there are three creative contributions in the proposed algorithm. They are: (a) In order to reduce the time complexity of PSP, an algorithm for generating the directed acrylic graph that represents...
Calibration of a water distribution system model is a complicated task. There are many uncertain parameters that need to be adjusted to reduce the discrepancy between the model predictions and field observations of junction pressure and pipe flow. This paper outlines the genetic algorithms (GA) based calibration framework which facilitates a variety of practical network model calibration tasks including...
This paper presents a new approach to handle multi-objective optimization problems (MOP) by incorporating logistic mapping function into the process of NSGA-II. NSGA-II is a well-known evolutionary algorithm for optimization, it is famous for its small computational complexity and simpleness, its ability to maintain a good spread of solutions makes it converge better in the obtained non-dominated...
Soil-Water Characteristic Curve (SWCC) is one of the most important parameters of unsaturated soils. It plays an important role in theoretical research and practical application. For the convenience of practical application, some models are presented, such as Gardner model, V-G model, etc. Recent experimental results show that besides water content, the consolidation stress has influence on SWCC either,...
The ant colony algorithm has slow convergence speed and very easily falls in local optimal solutions. Based on the Max-Min Ant System and the mutation ant colony algorithm, a special factor backtracking algorithm has been developed in this work and is used after ant colony algorithm for optimal solutions. The experiments show that 2 percentage can be achieved by a special factor backtracking algorithm.
Urban traffic signal control system is very complex, so it is very difficult to built a precise mathematical model. This paper presents a control algorithm which is alterable in phase-cycle and based on back propagation neural network method. After considering the lengths of each phase motorcade, this method determine how much time the current phase of the green light to extend and change the length...
In order to ensure every feasible assembly sequence is included in the searching space of genetic algorithm, this paper proposes an improved genetic encoding method. In this method, every chromosome is encoded by a permutation of integer. Although the final form of chromosome is the same as the existing form, the decoding process is different. In our decoding process, every permutation of integer...
The significance of localization technology for wireless sensor network is discussed, and localization algorithm based on genetic algorithm for a mobile anchor node is proposed. On the basis of the distance from anchor node to unknown node is measured by RSSI, the algorithm combines weighted centroid method and genetic algorithm in order to locate the unknown nodes. Firstly, weighted centroid method...
An improved PSO algorithm which is applied to mobile robot path planning is proposed. In this paper, we use the grid method to decompose two-dimensional space of the robot path to build the path space model. Using this method is simple and easy to achieve computer modeling, storing, processing, updating and analyzing. It can make the pairs of particles in the algorithm exchange information by leading...
The recovery of the Waste Electrical and Electronic Equipment (WEEE) has been becoming a major problem due to its environment hazards and public health. Reverse logistics network is a powerful approach. How to minimize the total recycle cost is of great importance for enterprises to win the customers. In this paper, we formulate a mathematical model of remanufacturing system as two stage logistics...
An online TSP which is described in this paper is to find a optimal Hamiltonian cycle in a real-time weighted symmetric graph. The real-time is that the weight of edge can be changed continuously and the method can answered rapidly to adjust the routes. A hybrid strategy which is based on the tabu search and genetic algorithm is proposed in this paper and an update operator is added into the strategy...
Python script language offers high development efficiency, abundant and versatile libraries; as a result nowadays it is used in a wide range of research projects and products domains. However, Python's interpretation characteristic becomes a speed bottleneck in some case, especially for extensive numerical operations. To solve this problem, many technologies to optimize Python are proposed. In this...
Scheduling is a very important part of the cloud computing system. This paper introduces an optimized algorithm for task scheduling based on genetic simulated annealing algorithm in cloud computing and its implementation. Algorithm considers the QOS requirements of different type tasks, the QOS parameters are dealt with dimensionless. The algorithm efficiently completes tasks scheduling in the cloud...
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