The real-time pricing optimization model of smart grid based on the utility function of the logistic function
Y Li, J Li, J He, S Zhang - Energy, 2021 - Elsevier
The utility function is very significant for solving the real-time pricing problem of smart grid.
Based on the Logistic function, a new utility function is constructed to satisfy four properties …
Based on the Logistic function, a new utility function is constructed to satisfy four properties …
Smoothing techniques in solving non-Lipschitz absolute value equations
In this study, we define for the first time the non-Lipschitz generalization of absolute value
equations and concentrate on solving the problem of non-Lipschitz absolute value …
equations and concentrate on solving the problem of non-Lipschitz absolute value …
A fixed-time inverse-free dynamical system for solving the system of absolute value equations
In this paper, an inverse-free dynamical system with fixed-time convergence is presented to
solve the system of absolute value equations (AVEs). Under a mild condition, it is proved …
solve the system of absolute value equations (AVEs). Under a mild condition, it is proved …
Neural network based on systematically generated smoothing functions for absolute value equation
In this paper, we summarize several systematic ways of constructing smoothing functions
and illustrate eight smoothing functions accordingly. Then, based on these systematically …
and illustrate eight smoothing functions accordingly. Then, based on these systematically …
[PDF][PDF] On generalized absolute value equations
In this paper, we consider the generalized absolute value equations. It is shown that Lax-
Milgram lemma and absolute values equations can be obtained as special cases. We use …
Milgram lemma and absolute values equations can be obtained as special cases. We use …
[PDF][PDF] New novel iterative schemes for solving general absolute value equations
In this paper, we consider the general absolute value equations, which can be used to study
the odd-order and nonsymmetric boundary value problems. It is shown that Lax-Milgram …
the odd-order and nonsymmetric boundary value problems. It is shown that Lax-Milgram …
Introducing three new smoothing functions: Analysis on smoothing-Newton algorithms
In this paper, we focus on solving the system of absolute value equations (AVE), which is
one of the most popular classes of nonlinear equations. First, a new smoothing technique …
one of the most popular classes of nonlinear equations. First, a new smoothing technique …
Smoothing Levenberg–Marquardt algorithm for solving non-Lipschitz absolute value equations
In this study, we concentrate on solving the problem of non-Lipschitz absolute value
equations (NAVE). A new Bezier curve based smoothing technique is introduced and a new …
equations (NAVE). A new Bezier curve based smoothing technique is introduced and a new …
[PDF][PDF] Neural network-based method for solving absolute value equations
XJ Huang, BT Cui - ICIC Express Lett, 2017 - researchgate.net
This paper presents a neural network method for solving absolute value equation (AVE).
First, the AVE is transformed into an equivalent linear complementary problem (LCP) when …
First, the AVE is transformed into an equivalent linear complementary problem (LCP) when …
Improved Glowworm Swarm Optimization Algorithm Based on a Sigmoid Function for the Absolute Value Equation
Solving the absolute value equation (AVE) is a nondifferentiable NP‐hard and continuous
optimization problem with a wide range of applications. Because its solutions have different …
optimization problem with a wide range of applications. Because its solutions have different …