Results 31 to 40 of about 111,305 (313)
A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization
Journal of Applied Mathematics, 2014 A new self-adaptive rule of trust region radius is introduced, which is given by a piecewise function on the ratio between the actual and predicted reductions of the objective function.
Yunlong Lu +3 more
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Necessary and sufficient condition on global optimality without convexity and second order differentiability [PDF]
, 2012 The main goal of this paper is to give a necessary and sufficient condition of global optimality for unconstrained optimization problems, when the objective function is not necessarily convex. We use Gâteaux differentiability of the objective function
A. Brøndsted +9 more
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Global convergence properties of a Dai-Liao-type CGM for unconstrained optimization
Recent Advances in Natural SciencesA popular optimization technique called the conjugate gradient method (CGM) is renowned for its effectiveness in addressing problems involving unconstrained optimization.
Oluwaseun Biodun Onuoha
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Journal of King Saud University: Computer and Information Sciences, 2014 Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. Real-life engineering designs often contain more than one conflicting objective function, which requires a multi ...
R. Venkata Rao, G.G. Waghmare
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Augmented Lagrangian Method for Finding Minimum Norm Solution to the Absolute Value Equation [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2017 In this paper, we give an algorithm to compute the minimum 1-norm solution to the absolute value equation (AVE). The augmented Lagrangian method is investigated for solving this problems .
Saeed Ketabchi, Hossein Moosaei
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Data-Driven Method for Missing Harmonic Data Completion
IEEE Access, 2021 In large-scale applications, missing harmonic data during transmission is inevitable. This paper presents a novel approach for the completion of missing harmonic data based on a data-driven approach.
Rui Xu +4 more
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An Improved Chicken Swarm Optimization Algorithm and its Application in Robot Path Planning
IEEE Access, 2020 Chicken swarm optimization (CSO) algorithm is one of very effective intelligence optimization algorithms, which has good performance in solving global optimization problems (GOPs). However, the CSO algorithm performs relatively poorly in complex GOPs for
Ximing Liang, Dechang Kou, Long Wen
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Testing Unconstrained Optimization Software [PDF]
ACM Transactions on Mathematical Software, 1981 Much of the testing of optimization software is inadequate because the number of test functmns is small or the starting points are close to the solution. In addition, there has been too much emphasm on measurmg the efficmncy of the software and not enough on testing reliability and robustness.
Kenneth E. Hillstrom +2 more
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Parameter Estimation of Electromechanical Oscillation Based on a Constrained EKF with C&I-PSO
Energies, 2018 By combining together the extended Kalman filter with a newly developed C&I particle swarm optimization algorithm (C&I-PSO), a novel estimation method is proposed for parameter estimation of electromechanical oscillation, in which critical ...
Yonghui Sun +5 more
doaj +1 more source
, 2014 In this paper, we introduce a new second-order directional derivative and a second-order subdifferential of Hadamard type for an arbitrary nondifferentiable function.
Ivanov, Vsevolod I.
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