clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

In image matching research, how to ensure that best match’s accuracy of the premise and a significant reduction in the amount of computing is the focus of concern by researchers. Search strategy to find the best match location of the image matching process to determine the amount of computing of image matching, in the existing image matching method are used to traverse search strategy, it is di...

Based on the dual structure of culture algorithm, a multi-population cooperative cultural algorithm is proposed by embedding the competition cooperative genetic algorithm into the population space of culture algorithm. In each sub-population, genetic algorithm is adopted. And its population size is adjusted in terms of population density so as to enhance the diversity. In belief space, each kin...

this study proposes a modified version of cultural algorithms (cas) which benefits from rule-based system for influence function. this rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. this is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. this rule ...

Optimization problems arise in many real-world applications. Cultural Algorithms are a class of computational models derived from observing the cultural evolution process in nature, compared with genetic algorithm the cultural algorithms have high convergence speed. Aiming at the disadvantages of basic cultural algorithms like being trapped easily into a local optimum, this paper improves the b...

The paper describes how a formal model of selfadaptation [Angeline, 1995] can be expressed in terms of Cultural Algorithms. A particular form of self-adaptation concerns the shifting of the representational bias used to described the set of learned beliefs within the Cultural Algorthms. A version of Cultural Algorithms with the ability to shift its representational bias was used to solve the Ro...