Results 51 to 60 of about 19,699 (306)
Application of Pattern Search Method to Power System Economic Load Dispatch [PDF]
, 2007 Direct Search (DS) methods are evolutionary algorithms used to solve constrained optimization problems. DS methods do not require information about the gradient of the objective function while searching for an optimum solution.
Alsumait, J.S. +2 more
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Mathematics, 2018 A single constrained ordered weighted averaging aggregation (COWA) problem is of considerable importance in many disciplines. Two models are considered: the maximization COWA problem with lower bounded variables and the minimization COWA problem with ...
Hui-Chin Tang, Shen-Tai Yang
doaj +1 more source
Revisiting second-order optimality conditions for equality-constrained minimization problem [PDF]
, 2022 The aim of this note is to give a geometric insight into the classical second order optimality conditions for equality-constrained minimization problem. We show that the Hessian's positivity of the Lagrangian function associated to the problem at a local
Amodei, Luca
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Finding the Roots of System of Nonlinear Equations by a Novel Filled Function Method
Abstract and Applied Analysis, 2011 We present a novel filled function approach to solve box-constrained system of nonlinear equations. The system is first transformed into an equivalent nonsmooth global minimization problem, and then a new filled function method is proposed to solve this ...
Wei-Xiang Wang +3 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Replicating natural postures of human arms is essential to generate human-like behaviors in robotic applications for humans nearby. However, how to realize this requirement in interactive scenarios remains a challenge due to the kinematic redundancy and ...
Quanlin Li +5 more
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Solving nonlinear optimization via Nelder-Mead optimization method [PDF]
تصمیم گیری و تحقیق در عملیات, 2018 In this paper, A innovative method designed to solving nonlinear optimization problems with convex object function and constrained. In this method, we define an cost function and we find variables to minimization of cost function.
Azhdar Soleymanpour Bakefayat
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A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms
Energies, 2021 This paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. Rao algorithms are parameter-less optimization algorithms.
Saket Gupta +5 more
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Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
An L1 estimation algorithm with degeneracy and linear constraints [PDF]
, 2002 An implementation of the reduced gradient algorithm is proposed to solve the linear L1 estimation problem (least absolute deviations regression) with linear equality or inequality constraints, including rank deficient and degenerate cases.
Shi, M., Lukas, M.A.
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