Neural networks have shown tremendous growth in recent years to solve numerous problems. Various types of neural been introduced deal with different However, the main goal any network is transform non-linearly separable input data into more linearly abstract features using a hierarchy layers. These layers are combinations linear and nonlinear functions. The most popular common non-linearity act...

In this paper a hybrid algorithm based on exploration power of the Genetic algorithms and exploitation capability of Nelder Mead simplex is presented for global optimization of multi-variable functions. Some modifications are imposed on genetic algorithm to improve its capability and efficiency while being hybridized with Simplex method. Benchmark test examples of structural optimization with a...

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase of the ICA algorithm. In addition...

The CLEF Labs are a continuation of tracks from previous CLEF workshops. In 2010, CLEF went from being a workshop collocated with an existing conference to a conference in its own right. The CLEF Labs are an integral part of the conference and two different types of lab are offered: (1) benchmarking or “campaign-style” and (2) workshop-style. The benchmarking labs on the whole follow the tradit...

In stock markets, the performance of traditional technology-based investment methods is limited because they only take into account singledimensional event factors. The paper shows how the integration of multi-dimensional event factors can improve performance, in which we emphasize on one key thing that previous studies have neglected: a two-way reflexivity model of investors’ decisions and mar...

Fundamental changes in the current energy grids, towards the so called smart grids, initiated a range of projects involving extensive deployment of metering and control devices into the grid infrastructure. Since in many countries, the choice of supportive information and communication technologies (ICT) for the grid devices still remains an open question, benchmarking tools aimed at predicting...

The research on incomplete soft sets is an integral part of the research on soft sets and has been initiated recently. However, the existing approach for dealing with incomplete soft sets is only applicable to decision making and has low forecasting accuracy. In order to solve these problems, in this paper we propose a novel data filling approach for incomplete soft sets. The missing data are f...