Chemical Evolution in Hierarchical Clustering Scenarios

Hierarchical Cut Clustering in Dynamic Scenarios

HIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS

One of the most important issues in urban planning is developing sustainable public transportation. The basic condition for this purpose is analyzing current condition especially based on data. Data mining is a set of new techniques that are beyond statistical data analyzing. Clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. The result of...

The Evolution of Galaxy Clustering in Hierarchical Models

The main ingredients of recent semi-analytic models of galaxy formation are summarised. We present predictions for the galaxy clustering properties of a well specified ΛCDM model whose parameters are constrained by observed local galaxy properties. We present preliminary predictions for evolution of clustering that can be probed with deep pencil beam surveys.

Evolution of Cluster Galaxies in Hierarchical Clustering Universes

Using cosmological N -body simulations of critical (SCDM) and open (Ω = 0.3, OCDM) cold dark matter models, we investigated the evolution of cluster galaxies. Based on our numerical simulation, we constructed merging history trees of the galaxies. By following their merging history, we could show that the major merger fractions of the galaxies in cluster-forming regions is roughly proportional ...

Hierarchical Differential Evolution for Parameter Estimation in Chemical Kinetics

Parameter estimation, a key step in establishing the kinetic models, can be considered as a numerical optimization problem. Many optimization techniques including evolutionary algorithms have been applied to it, yet their efficiency needs further improvement. This paper proposes a hierarchical differential evolution (HDE) in which individuals are organized in a hierarchy and mutation base is se...