Aiming at the low efficiency of magnetic column surface defect detection, vulnerability to human influence, and insufficient anti-noise performance existing 2D-OTSU threshold segmentation algorithm, an improved artificial fish swarm algorithm combined with was proposed improve accuracy real-time detection. Firstly, weight coefficient added on basis original distance function set optimize coeffi...

the improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. detailed examination of changes in expression levels of genes can help physicians to have effi cient diagnosing, classification of tumors and cancer’s types as well as effective treatments. finding genes that can classify the group of...

An artificial fish swarm algorithm based on a filter methodology for trial solutions acceptance is analyzed for general constrained global optimization problems. The new method uses the filter set concept to accept, at each iteration, a population of trial solutions whenever they improve constraint violation or objective function, relative to the current solutions. The preliminary numerical exp...

Group classification rules extraction is an important task in pattern recognition. In this paper, we proposed a classification rules extraction algorithm base on fish swarm optimization. There are two main works in this article: firstly, fish swarm optimization is introduced. Secondly, a classification rules extraction algorithm is proposed. The proposed algorithm provides a good practicability...

Clustering technology has received a lot of concern in many areas such as engineering, medicine, biology and data mining. Collecting data points is the purpose of clustering and the most common clustering technology is K-means algorithm. However, results of kmeans depend on the initial state and convergence to a local optimum is also its drawback. To overcome these drawbacks, many studies have ...

Swarm Intelligence (SI) is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is normally no centralized control structure dictating how individual agents should behave, local i...

Through in-depth research and application, it is found that with the increasing number of artificial fish, required storage space also increasing, which finally leads to difficulty calculation, ability obtain accurate solutions seriously insufficient, only satisfactory solution domains can be obtained for system. Since development multi-user systems, there are still some problems in resource al...