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A new wavelet packet image compression method is proposed based on PSO algorithm. The PSO is utilized to find out the best wavelet packet basis for image compression. A fitness function is designed in terms of the Mean Square Error (MSE) and the sum of the node entropy. Compared with the global soft threshold compression algorithm provided by Matlab soft, the proposed method exhibits better compression...
Community mining has been the focus of many recent efforts on complex networks, and the genetic algorithm with low time-complexity is widely used in this discipline. To enhance the performance of genetic algorithm for community detection, the modified crossover operators which are more suitable for community detection is proposed in this paper, and the heuristic mutation operator based on local modularity...
This paper investigates the 0-1 knapsack problem using genetic algorithms. The work is based on heuristic strategies that takes into account the characteristics of 0-1 knapsack problem. In this article, a heuristic Genetic Algorithms(GA) is proposed to solve the 0-1 knapsack problem, in each generation, populations are divided into two sections: superior clan and inferior clan, and excellent schema...
Alzheimer disease (AD) is the most common form of dementia. To find a way of cure it, gene study is necessary. And gene order is a new conception of gene study currently, where gene order refers to a permutation of genes in which similar genes are ordered together one by one, and optimal gene order can be abstracted as shortest TSP route. Currently only two types of tools are reported to calculate...
This recommendation algorithm based on User-Item Rating Matrix is inefficient in the case of cold-start. The Application of Multi-Attribute Rating Matrix (MARM) can solve the problem effectively. The user and item information are analyzed to create their attribute-tables. The user's ratings are mapped to the relevant item attributes and the user's attributes respectively to generate a User Attribute-Item...
In this study, the genetic algorithms and fuzzy comprehensive evaluation were used together to analyze the product assessment data. It is explored which operators were employed and whether everybody used the same operators in fuzzy comprehensive evaluation. It investigated the evaluation made by undergraduates on Master Kong beef instant noodle. The results demonstrated that males used the “max...
In order to determine the optimal set of maintenance strategies for a network of bridges with concrete decks, a maintenance strategy optimization method using interactive genetic algorithm is presented in this paper. Evolution is leaded into optimal comprehensive performance of multiple objects by way of inputting inaccurate preference information and fitness Sharing technique is introduced to improve...
For the discretization of particles in particle swarm optimization (PSO), we have proposed the family PSO (FPSO) previously. To further study the internal structure of FPSO, this paper defined two kinds of relationships between particles: equal relationship (ER) and generational relationship (GR). FPSO of equal relationship (ER-FPSO) and FPSO of generational relationship (GR-FPSO) were proposed. Simulations...
For the multi-constrained routing problem, there are several constrained parameters such as the bandwidth, delay, packet loss rate, delay jitter, the QoS parameters influence each other. It has been proved as a NP-Complete problem, traditional linear method often have some difficulties in solving this problem. The application of ant colony algorithm or genetic algorithm often has a slow convergence...
Data fusion is considered an effective technique to eliminate redundant information to save energy and other resources in wireless sensor networks (WSNs). This paper focuses on data fusion technique based on three-tiers WSNs for the urban real time traffic information monitoring. Firstly, we describe the system architecture, analyze urban real time traffic information and the data delivery flow. Subsequently,...
This paper presents an urban traffic information collection algorithm implemented through Wireless Sensor Networks (WSNs) with floating vehicles technology, which can provide a flexible, energy efficient, low-delay and low-cost wireless solution for obtaining all-weather real time traffic information that can be used for generating safety warnings to drivers, passengers and managers. The system consists...
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