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and Panagiotis, P., ―An Advanced Conjugate Gradient Training Algorithm Based on a Modified Secant Equation‖, ISRN, Artificial Intelligence, 2012.Livieris I. and Pintelas R. (2011). "An advanced conjugate gradient training algorithm based on a modified secant equation", Technical Report NO. ...
In this paper, based on the idea of Ref. [1], we propose a modified conjugate gradient method using secant conditions for unconstrained optimization problems. The proposed algorithm improves the method in Ref. [1], which possesses the following properties: the search direction has the sufficient...
Second, based on the Lipschitz continuity of the cost function, we present a modified hybrid conjugate gradient algorithm (MHCGA) to solve the optimization problem and then prove the global convergence of this MHCGA. Compared with other methods, the results of the simulation experiments clearly ...
An improved conjugate gradient algorithm is proposed that does not rely on the line search rule and automatically achieves sufficient descent and trust region qualities. It is applicable to solve unconstrained problems and large-scale nonsmooth problems. Furthermore, it demonstrates global convergence prop...
Initially, the conjugate gradient algorithm is only used to deal with linear problems, then it is extended to the nonlinear domain [21]. With the emergence of large-scale unconstrained problems, many researchers focus on designing suitable conjugate convergence parameters, which comparably improve the...
In the method, a conjugate gradient algorithm was designed and the main idea is that the moving target is measured twice with a time interval, thus, the influence of locating target can be eliminated which is caused by the geomagnetic total field with time-varying and uneven spatial ...
In this context, PSO algorithm can be combined with deterministic methods, increasing the chance of finding the function’s most likely global optimal. This chapter presents the three deterministic methods in which the PSO was coupled: conjugate gradient method, Newton’s method, and quasi-Newton ...
Here we introduce a new evolutionary algorithm called the Lotus Effect Algorithm, which combines efficient operators from the dragonfly algorithm, such as