Results 71 to 80 of about 270,421 (115)

A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms

IEEE Transactions on Evolutionary Computation, 2020
Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making.
Xiaoliang Ma, Yanan Yu, Xiaodong Li, Yutao Qi, Zexuan Zhu   +4 more
semanticscholar   +1 more source

Accidental importation of the vector of Chagas disease, Triatoma rubrofasciata (De Geer, 1773) (Hemiptera, Reduviidae, Triatominae), in Europe

Journal of Vector Ecology, 2023
Members of the subfamily Triatominae (Hemiptera; Reduviidae) are vectors of American trypanosomiasis, also called Chagas disease. These insects feed on blood and are capable of transmitting protozoa belonging to the genus Trypanosoma (Kinetoplastea ...
F. Collantes, Juan Francisco Campos-Serrano, I. Ruíz-Arrondo   +2 more
semanticscholar   +1 more source

On the radii of steadiness, quasi-steadiness, and stability of a vector trajectory problem on lexicographic optimization

Discrete Mathematics and Applications, 1998
The paper deals with a multicriteria problem of lexicographic optimization on a system of subsets of a finite set (a trajectory problem) with a vector criterion function consisting of linear criteria. Different types of steadiness of the lexicographic set under small variations of parameters of the criterion functions are investigated.
Emelichev, V. A., Berdysheva, R. A.
openaire   +1 more source

Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis

Applied Soft Computing, 2020
Support vector machine (SVM) is a widely used pattern classification method that its classification accuracy is greatly influenced by both kernel parameter setting and feature selection.
Mingjing Wang, Huiling Chen
semanticscholar   +1 more source

EEG signal classification using universum support vector machine

Expert systems with applications, 2018
Support vector machine (SVM) has been used widely for classification of electroencephalogram (EEG) signals for the diagnosis of neurological disorders such as epilepsy and sleep disorders.
Bharat Richhariya, M. Tanveer
semanticscholar   +1 more source

A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting

Annals of Data Science, 2021
Akshit Kurani, Pavan Doshi, Aarya Vakharia, Manan Shah   +3 more
semanticscholar   +1 more source

Critical points of the rotation function of an integrable Hamiltonian system

, 1996
P Topalov
semanticscholar   +1 more source

Least Squares Support Vector Machine Classifiers

Neural Processing Letters, 1999
J. Suykens, J. Vandewalle
semanticscholar   +1 more source

An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods

The AI Magazine, 2001
Tong Zhang
semanticscholar   +1 more source