Rock–paper–scissors (RPS) game is a nice model to study the biodiversity in ecosystem. However, the previous studies only consider the nearestneighborinteraction among the species. In this paper, taking the long range migration into account, the effects of the interplay between nearest-neighbor-interaction and long-range-interaction of Levy flight with distance distribution h l (-0.3<h<-0.1) in...

Gene clustering is a familiar step in the exploratory analysis of high dimensional biological data. It is the process of grouping genes of similar patterns in the same cluster and aims at analyzing the functions of gene that leads to the development of drugs and early diagnosis of diseases. In the recent years, much research has been proposed using nature inspired meta-heuristic algorithms. Cuc...

In this paper, a comparative study is carried using three nature-inspired algorithms namely Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Cuckoo Search (CS) on clustering problem. Cuckoo search is used with levy flight. The heavy-tail property of levy flight is exploited here. These algorithms are used on three standard benchmark datasets and one real-time multi-spectral satelli...

This work is devoted to the study of the statistical properties of financial indices from developed and emergent markets. We performed a new analysis of the behavior of several financial indices by using a normalized truncated Levy walk model. We conclude that the truncated Levy distribution describes perfectly the evolution of the financial indices near a crash for both well-developed and emer...

AMERICAN METEOROLOGICAL SOCIETY | JANUARY 2007| 25 PB AFFILIATIONS: LEVY—Science Systems and Applications, Inc., Lanham, Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland; PINKER—Department of Atmospheric and Oceanic Science, University of Maryland, College Park...

With a suitable method to rank the user influence in micro-blogging service, we could get influential individuals to make information reach large populations. Here a novel parallel social influence model is proposed to face to these challenges. In this paper, we firstly propose impact factors named Social Network Centricity and Weibo Heat Trend, describe a general algorithm named ActionRank to ...

While the ultrastructure of the myelin has been considered to be a quasi-crystalline stable system, nowadays its multiscale complex dynamics appears to play a key role for its functionality, degeneration and repair processes following neurological diseases and trauma. In this work, we have investigated the interactions between axons associated to the nerve functionality, measuring the spatial d...

Data clustering is the process of partitioning a set of data objects into meaning clusters or groups. Due to the vast usage of clustering algorithms in many fields, a lot of research is still going on to find the best and efficient clustering algorithm. K-means is simple and easy to implement, but it suffers from initialization of cluster center and hence trapped in local optimum. In this paper...