Actualités

IEEE5 a
On Convergence of Pigeon Inspired Optimization Algorithm
The pigeon inspired optimization (PIO) is a metaheuristic algorithm which finds an optimal solution in the complex search spaces using homing behavior of pigeons. PIO algorithm has been applied to ...
IEEE3 a
Computational Convergence Analysis of Distributed Optimization Algorithms for Directed Graphs
In this paper, we present a unified framework based on integral quadratic constraints for analyzing the convergence of distributed push-pull based optimization algorithms for directed graphs. Our ...
Scientific Research Publishing5 a
Push-Pull Finite-Time Convergence Distributed Optimization Algorithm - Scientific Research Publishing
According to the convergence characteristics of the distributed convex optimization algorithm, it can be divided into asymptotic convergence [10] and exponential convergence [13]. Event-driven ...
Scientific Research Publishing11 a
J. P. Dussault, “Convergence of Implementable Descent Algorithms for Unconstrained Optimization,” Journal of Optimization Theory and Applications, Vol. 104, No. 3, 2000, pp ...
J. P. Dussault, “Convergence of Implementable Descent Algorithms for Unconstrained Optimization,” Journal of Optimization Theory and Applications, Vol. 104, No. 3, 2000, ... It is proved that the ...
Frontiers1 a
Stochastic AUC Optimization Algorithms With Linear Convergence
In this section, we report the experimental evaluations of SPDAM and compare it with existing state-of-the-art learning algorithms for AUC optimization and convergence rate. 5.1. Comparison Algorithms ...