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In complex problems it may, however, be very expensive or infeasible to determine the Hessian matrix A.
This motivates quasi-Newton methods which recursively estimate A of A−1
from the measure...
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines
Support Vector Machine (SVM) Genetic Algorithm (GA) Particle Swarm Optimization (PSO) Feature Selection Optimization
2013/1/29
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of cl...
A Comparative Study of Multiobjective Optimization Methods in Structural Design
Multiobjective optimization objective function structural design supercriterion
2009/10/13
The computational algorithms of di erent multiobjective optimization techniques and their applications to structural systems are presented. The weighting, -constraint, goal programming and modified g...