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Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems
This paper proposes a new meta-heuristic algorithm inspired by horses' herding behavior for
high-dimensional optimization problems. This method, called the Horse herd Optimization …
high-dimensional optimization problems. This method, called the Horse herd Optimization …
A survey of neurodynamic optimization
Y **_Wen/publication/305339524_Synchronization_of_Switched_Neural_Networks_With_Communication_Delays_via_the_Event-Triggered_Control/links/5bbb88aa92851c7fde341375/Synchronization-of-Switched-Neural-Networks-With-Communication-Delays-via-the-Event-Triggered-Control.pdf" data-clk="hl=no&sa=T&oi=gga&ct=gga&cd=2&d=15141841837610684553&ei=Fr-9Z7bfKJeY6rQPksnM8AE" data-clk-atid="idDuJ-2gItIJ" target="_blank">[PDF] researchgate.net
Synchronization of switched neural networks with communication delays via the event-triggered control
This paper addresses the issue of synchronization of switched delayed neural networks with
communication delays via event-triggered control. For synchronizing coupled switched …
communication delays via event-triggered control. For synchronizing coupled switched …
Second-order continuous-time algorithms for economic power dispatch in smart grids
This paper proposes two second-order continuous-time algorithms to solve the economic
power dispatch problem in smart grids. The collective aim is to minimize a sum of generation …
power dispatch problem in smart grids. The collective aim is to minimize a sum of generation …
Global Mittag-Leffler stability and synchronization analysis of fractional-order quaternion-valued neural networks with linear threshold neurons
This paper talks about the stability and synchronization problems of fractional-order
quaternion-valued neural networks (FQVNNs) with linear threshold neurons. On account of …
quaternion-valued neural networks (FQVNNs) with linear threshold neurons. On account of …
Finite-time synchronization of discontinuous neural networks with delays and mismatched parameters
W Zhang, X Yang, C Xu, J Feng… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
This paper investigates the problem of finite-time drive-response synchronization for a class
of neural networks with discontinuous activations, time-varying discrete and infinite-time …
of neural networks with discontinuous activations, time-varying discrete and infinite-time …
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints
As two important types of generalized convex functions, pseudoconvex and quasiconvex
functions appear in many practical optimization problems. The lack of convexity poses some …
functions appear in many practical optimization problems. The lack of convexity poses some …
An inertial projection neural network for solving variational inequalities
Recently, projection neural network (PNN) was proposed for solving monotone variational
inequalities (VIs) and related convex optimization problems. In this paper, considering the …
inequalities (VIs) and related convex optimization problems. In this paper, considering the …
A proximal neurodynamic network with fixed-time convergence for equilibrium problems and its applications
This article proposes a novel fixed-time converging proximal neurodynamic network
(FXPNN) via a proximal operator to deal with equilibrium problems (EPs). A distinctive …
(FXPNN) via a proximal operator to deal with equilibrium problems (EPs). A distinctive …
A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints
N Liu, S Qin - Neural Networks, 2019 - Elsevier
This paper presents a neurodynamic approach to nonlinear optimization problems with
affine equality and convex inequality constraints. The proposed neural network endows with …
affine equality and convex inequality constraints. The proposed neural network endows with …