Results 11 to 20 of about 13,755 (295)

Testing Unconstrained Optimization Software [PDF]

open access: yesACM 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
openaire   +2 more sources

A Modified Genetic Algorithm in C++ for Optimization of Steel Truss Structures [PDF]

open access: yesJournal of Soft Computing in Civil Engineering, 2021
A common structural design optimization problem is weight minimization which is done by choosing a set of variables that represent the structural or the architectural configuration of the system satisfying few design specific criterion.
Pawan Kumar   +2 more
doaj   +1 more source

The Alternating Direction Search Pattern Method for Solving Constrained Nonlinear Optimization Problems

open access: yesMathematics, 2023
We adopt the alternating direction search pattern method to solve the equality and inequality constrained nonlinear optimization problems. Firstly, a new augmented Lagrangian function with a nonlinear complementarity function is proposed to transform the
Aifen Feng   +3 more
doaj   +1 more source

Objective acceleration for unconstrained optimization [PDF]

open access: yesNumerical Linear Algebra with Applications, 2018
SummaryAcceleration schemes can dramatically improve existing optimization procedures. In most of the work on these schemes, such as nonlinear generalized minimal residual (N‐GMRES), acceleration is based on minimizing the ℓ2 norm of some target on subspaces of .
openaire   +5 more sources

Modified new conjugate gradient method for Unconstrained Optimization

open access: yesTikrit Journal of Pure Science, 2019
The current paper modified method of conjugate gradient for solving problems of unconstrained optimization. The modified method convergence is achieved by assuming some hypotheses.
Zeyad M. Abdullah   +3 more
doaj   +1 more source

Unconstrained optimal transformation matrix [PDF]

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 1998
We generalize Brock's minimization of the loss function proposed by Wahba to give a least-squares estimate of satellite attitude. We follow Brock in relaxing Wahba's requirement that the minimizing attitude matrix be orthogonal, and discuss the statistical properties of our new solution and its relation to existing attitude estimation algorithms.
Landis Markley, F.   +1 more
openaire   +2 more sources

An Efficient Algorithm for Unconstrained Optimization [PDF]

open access: yesMathematical Problems in Engineering, 2015
This paper presents an original and efficient PSO algorithm, which is divided into three phases: (1) stabilization, (2) breadth-first search, and (3) depth-first search. The proposed algorithm, called PSO-3P, was tested with 47 benchmark continuous unconstrained optimization problems, on a total of 82 instances.
Antonin Ponsich   +5 more
openaire   +1 more source

Higher-Order Optimality Conditions for Degenerate Unconstrained Optimization Problems

open access: yesJournal of Optimization, Differential Equations and Their Applications, 2022
In this paper necessary and sufficient conditions of a minimum for the unconstrained degenerate optimization problem are presented. These conditions generalize the well-known optimality conditions.
Viktor Zadachyn
doaj   +1 more source

An ensemble symbiosis organisms search algorithm and its application to real world problems [PDF]

open access: yesDecision Science Letters, 2017
In this study, an ensemble algorithm has been proposed, called Quasi-Oppositional Symbiosis Organisms Search (QOSOS) algorithms, by incorporating the quasi-oppositional based learning (QOBL) strategy into the newly proposed Symbiosis Organisms Search ...
Sukanta Nama, Apu Kumar Saha
doaj   +1 more source

An alternative globalization strategy for unconstrained optimization [PDF]

open access: yesOptimization, 2017
We propose a new globalization strategy that can be used in unconstrained optimization algorithms to support rapid convergence from remote starting points. Our approach is based on using multiple points at each iteration to build a representative model of the objective function.
Öztoprak, Figen, Birbil, Ş. İlker
openaire   +4 more sources

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