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In order to explore the inherent law of serious collisions and provide a reference to determine the result of accidents, this paper proposed a new model of vessel collision analysis and prediction based on data mining. After collecting complete vessel collision accidents reports, indexes of the severity of vessel collision were extracted and quantified. By using the method of factor analysis, the...
Clustering is part of data mining. Clustering is used to group objects so that one group has the same characteristics. K-means widely used because it is relatively easy to use. However K-means has shortcomings. K-means depends on the initial centroid. Selection of initial centroid done randomly so that the cluster formed is often not optimal. The clustering results are sometimes good and sometimes...
Accounting is a science that, by studying the financial statements, search to provide information of great importance for decision-making, becoming a crucial tool for the managers of an organization. One of the existing difficulties is in the transparency and understanding of accounting data by managers. The studies in this area show the use of subjectivity on the part of financial analysts while...
In the present study we investigate the evolutionary feature subset selection using wrapper based genetic algorithms on Multi-temporal datasets. Feature subset selection helps in reducing the original feature dimension and also yields high performance. The evolutionary strategy attains a global optimum by reducing the computations iteratively and by traversing intelligently in the entire feature space...
This paper proposes a method using rough set theory to extract decision rules for the observation data of 30 debris flow emergencies in Jiangjiagou Ravine, Yunnan, China. First, the row-column discretization is adopted in data discretization process, and which also reduces some condition attributes. Then, The attributes reduction work is done based on Niche Genetic Algorithm. Finally, a attribute...
Project management maturity is the reflection of enterprise project management level. Accurately evaluating project management maturity is significant for improving the competitiveness of Chinese construction companies. Firstly, combined with knowledge and characteristics of project management and enterprise practices, an enterprise project management maturity level model is proposed, and evaluation...
In this paper, we concentrate on efficiency of path finding problem with obstacles. The implemented algorithms for solving such a problem are based on ant colony optimization, genetic algorithm idea, simulated annealing and simple algorithms. The simple algorithms like random search and Nai??ve algorithm are considered either. As the investigation tool we have designed and implemented computer experimentation...
Crossover operation is the main means of Genetic Algorithms, for the lack of crossover operation, from three aspects of crossover operation, systemically proposed one kind of improved Crossover operation of Genetic Algorithms, namely used a kind of new consistent Crossover Operator and determined which two individuals to be paired for crossover based on relevance index, which can enhance the algorithm's...
Being the deregulation of power market, it is important to evaluate the credit of the participators especial to different kinds of customers. However, there are several factors which are complicated associated with credit of power users. Moreover, the factors are interrelated so that it becomes difficult to design an efficient method to search out independent factors and decision rules supporting...
This paper describes GAHWM, a new evolutionary algorithm that integrates genetic algorithm paradigm with an inverted index model to mine the content of HTML documents for effective Web document retrieval. This method is superior in terms of recall and precision over various real life datasets.
In the last years, the area of Multicriteria Decision Analysis (MCDA) has brought about new methods to cope with classification problems, among which those based on the concept of prototypes. These refer to specific alternatives (samples) of the training dataset that are good representatives of the groups they fit in. In this paper, experiments are conducted over two prototype selection (PS) techniques...
In this paper, we make an attempt to apply rough set theory into risk identification of merger and acquisition (abbreviated by M&A) from the angle of the acquirer. Although M&A helps enterprises to optimize productions and appropriately allocates social resources, it can also bring about great risks. To identify possible risks before an M&A being carried out, we first classify all kinds...
This paper proposes a new method for the incorporation of the generation unit and transmission line unavailability in the solution of the unit commitment problem. The above parameters are taken into account in order to assess the required spinning reserve capacity at each hour of the dispatch period, so as to maintain an acceptable reliability level. The unit commitment problem is solved by a Genetic...
Automatic data clustering through determination of optimal number of clusters from the data content, is a challenging proposition. Lack of knowledge regarding the underlying data distribution poses constraints in proper determination of the inherent number of clusters. A differential evolution (DE) algorithm based approach for the determination of the optimal number of clusters from the data under...
Since its foundation in 1994, the grouping genetic algorithm (GGA) is the only evolutionary algorithm heavily modified to suit the structure of grouping problems. In this paper we design the grouping version of evolution strategies (ES). It is well-known that ES maintains a Gaussian mutation, recombination and a selection operator for optimizing non-linear continuous functions. Therefore, the development...
Four optimization deployment performance indexes have been proposed for the problem of multi-sensor platforms optimization deployment in near-space. An adaptive GA algorithm is used to optimize the latitude and longitude points' positions of multi-sensor platforms in near-space. Then a linear fitness function is constructed based on the four indexes. The crossing probability and mutation probability...
In this paper, we introduce a new index for evaluating the interpretability of Mamdani fuzzy rule-based systems (MFRBSs). The index takes both the rule base complexity and the data base integrity into account. We discuss the use of this index in the multi-objective evolutionary generation of MFRBSs with different trade-offs between accuracy and interpretability. The rule base and the membership function...
Portfolio optimization plays a critical role in determining portfolio strategies for investors and it is intrinsically a discrete multiobjective optimization problem whose decision criteria conflict with each other. This paper extends a novel numerical multiobjective optimization algorithm, so-called multiobjective extremal optimization (MOEO), to solve the portfolio optimization problem. The proposed...
The decision-making of normal high water level of a reservoir is a complex and uncertainty problem. To avoid the qualitative and subjective defects of traditional decision-making methods, a novel method by means of fuzzy analytic hierarchy process (FAHP) combined with real coding based accelerating genetic algorithm (RAGA), is described in this paper. A fuzzy preferential relation matrix is established...
Energy is a primary constraint in the design and deployment of wireless sensor networks (WSNs) since sensor nodes are typically powered by batteries with a limited capacity. Since radio communication is, in general, the most energy hungry operation in a sensor node, most of the techniques proposed to extend the lifetime of a WSN have focused on limiting transmission/reception of data, for instance,...
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