Using Evolutionary Programs to Maximize Minimum Temperature Forecast Skill

The ensemble clustering with maximize diversity using evolutionary optimization algorithms

Data clustering is one of the main steps in data mining, which is responsible for exploring hidden patterns in non-tagged data. Due to the complexity of the problem and the weakness of the basic clustering methods, most studies today are guided by clustering ensemble methods. Diversity in primary results is one of the most important factors that can affect the quality of the final results. Also...

Interleaving Sequences to Maximize the Minimum Preex Sum Interleaving Sequences to Maximize the Minimum Preex Sum

We consider the problem of interleaving sequences of real numbers in order to maximize the minimum, over all preexes p of the interleaved sequence, of the sum of the numbers in p. A simple and eecient solution is given. This problem is motivated by a resource scheduling application, and a special case of the scheduling problem is reduced to the interleaving problem.

survey and forecast of minimum temperature trends of iran

1. introduction climate is a large system which is produced due to the relation and action between other large systems. if a change occurs in one of these systems, other systems will coordinate themselves with the change fast or slowly. the consequences of this coordination will impress the system that is starter of this change and an endless continuum of the links connects these systems togeth...

Channel shaping to maximize minimum distance ú

Suppose that N inputs to a linear, time-invariant channel are designed to maximize the minimum L , distance between channel outputs. It is assumed that all inputs are zero outside the finite time window [ T , TI and are constrained in energy. The jointly optimal inputs and channel frequency response H(f) for which the minimum distance is maximized is studied, subject to the constraint that the ...

Enhanced seasonal forecast skill following