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Community structure of complex network by genetic algorithm has drawn much attention of researchers in various field in recent years. Genetic algorithm is easy to trap into local optimal and also easy to obtain unstable solutions. In order to solve this problem, an effective mutation method combined with node-to-community membership function that is based on the local information of each node in networks...
The newly introduced Kubelka-Munk Genetic Algorithm (KMGA) is a promising technique used in the assessment of skin lesions. Unfortunately, this method is computationally expensive due to its function inverting process. In the work of this paper, we design a Predictive Function Optimization Algorithm in order to improve the efficiency of KMGA by speeding up its convergence rate. Using this approach,...
The proliferation of smartphones has enabled a novel paradigm, participatory sensing, which leverages the smartphones to collect and share data about their surrounding environment. Since the sensing tasks are location-dependent and have time features, it is crucial and challenging to find a proper allocation of sensing tasks to ensure the timeliness of tasks and the quality of sensing data. In this...
Considering the problem of the low combustion efficiency in the combustion control system of the sleeve kiln, and the low activity of the lime produced, a plan is designed for the intelligent temperature control in the combustion chamber of the lime kiln. First, with the aim of controlling the temperature of the combustion chamber, and to adjust the gas flow, a plan is proposed to use fuzzy PID intelligence...
Association rule is one of the key techniques for data mining and knowledge discovery in databases. Before mining association rules from numerical data, however, the variable domains are required to be partitioned into sections first (i.e. the data should be discretized), which will directly affect the quality of association rules to be generated. But it is infeasible to find the best combination...
We present an efficient genetic algorithm for mining multi-objective rules from large databases. Multi-objectives will conflict with each other, which makes it optimization problem that is very difficult to solve simultaneously. We propose a multi-objective evolutionary algorithm called improved niched Pareto genetic algorithm(INPGA), which not only accurate selects the candidates but also saves selection...
Build mathematical models for multi-objective flexible scheduling problems, put forward a improved genetic algorithm based on DNA computation, combine it with Pareto non-dominated sorting method to work out multi-objective flexible scheduling optimization problems. In order to ensure the diversity of optimal solution sets, RNA four-digit-system encoder mode and genetic operator based on DNA computation...
In order to reduce the computational complexity of the video compression algorithm and improve the accuracy of rebuild images, a new adaptive motion estimation coding algorithm is proposed. First use a new adaptive genetic algorithm to segment the video object, identify the adaptive genetic mechanisms, the early generation of individuals, selection operator and judgments of the end, and draw the boundaries...
The design of steering linkage must meet Ackerman steering characteristic, and the change of toe-in angle during wheel jumping should be the smallest. The virtual prototype model of McPherson suspension and steering linkage is established by using the ADAMS software. Due to the ADAMS software's limitation in optimized method, an optimize method that combine MATLAB genetic algorithm toolbox with ADAMS...
Due to the large success of wireless networks and portable devices, the ubiquitous computing paradigm is becoming a reality. Service-oriented architectures are among the premier middleware approaches to coping with the dynamicity of ubiquitous computing environments. One of the most challenging objectives to be achieved in ubiquitous computing environments is to allow a user to perform tasks by composing...
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