As society has developed, increasing amounts of data have been generated by various industries. The random forest algorithm, as a classification is widely used because its superior performance. However, the algorithm uses simple sampling feature selection method when generating subspaces which cannot distinguish redundant features, thereby affecting accuracy, and resulting in low calculation ef...

The coherence optimization based on the eigenvalues in radar polarimetry is used to enhance the quality of SAR interferograms. A second and an alternative coherence optimization algorithm which consists in looking at the possible coherence for every combination of elliptical polarizations extracted from the polarimetric signatures and selecting the highest one is also developed, tested and comp...

This article introduces a margin optimization based pruning algorithm which is able to reduce the ensemble size and improve the performance of a random forest. A key element of the proposed algorithm is that it directly takes into account the margin distribution of the random forest model on the training set. Four different metrics based on the margin distribution are used to evaluate the ensem...

differential steering of in-wheel electric vehicle provides the functions of both active steering and power assisted steering with the coupling control of force and displacement transfer characteristic of system. a collaborative optimization model of the differential power-assisted steering system of in-wheel electric vehicle is built, with steering economy as the main system optimization goal,...

determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...

this paper presents a strategy for using harmony search algorithm in facility layout optimization problems. in this paper an adapted harmony search algorithm is developed for solving facility layout optimization problems. this method finds an optimal facility arrangement in an existing layout. two real-world case studies are employed to demonstrate the efficiency of this model. a comparison is ...

A Discriminative Deep Forest (DisDF) as a metric learning algorithm is proposed in the paper. It is based on the Deep Forest or gcForest proposed by Zhou and Feng and can be viewed as a gcForest modification. The case of the fully supervised learning is studied when the class labels of individual training examples are known. The main idea underlying the algorithm is to assign weights to decisio...