Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Vasileios Charilogis"'
Publikováno v:
Analytics, Vol 3, Iss 2, Pp 225-240 (2024)
Global optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques. A relatively new evolutionary technique in this direction is that of Gi
Externí odkaz:
https://doaj.org/article/9ae82dc5f63948a2911a50025852b56f
Publikováno v:
AppliedMath, Vol 4, Iss 2, Pp 709-730 (2024)
The topic of efficiently finding the global minimum of multidimensional functions is widely applicable to numerous problems in the modern world. Many algorithms have been proposed to address these problems, among which genetic algorithms and their va
Externí odkaz:
https://doaj.org/article/f1d35c23a06644e08b063f72734b370c
Publikováno v:
Computation, Vol 12, Iss 8, p 158 (2024)
The problem of finding the global minimum of a function is applicable to a multitude of real-world problems and, hence, a variety of computational techniques have been developed to efficiently locate it. Among these techniques, evolutionary technique
Externí odkaz:
https://doaj.org/article/fbc5a84e49d84dd7907cf50742295ce8
Publikováno v:
Analytics, Vol 2, Iss 1, Pp 17-30 (2023)
Global optimization is a widely used technique that finds application in many sciences such as physics, economics, medicine, etc., and with many extensions, for example, in the area of machine learning. However, in many cases, global minimization tec
Externí odkaz:
https://doaj.org/article/137f9b4cea684e77803be52a8e3a6271
Publikováno v:
Axioms, Vol 12, Iss 10, p 980 (2023)
The need to find the global minimum in multivariable functions is a critical problem in many fields of science and technology. Effectively solving this problem requires the creation of initial solution estimates, which are subsequently used by the op
Externí odkaz:
https://doaj.org/article/48c2b9466fd54ba187e238c187638196
Publikováno v:
Algorithms, Vol 16, Iss 2, p 71 (2023)
In the present work, an innovative two-phase method is presented for parameter tuning in radial basis function artificial neural networks. These kinds of machine learning models find application in many scientific fields in classification problems or
Externí odkaz:
https://doaj.org/article/3f99022a5bf34507b9648d2121673b27
Publikováno v:
Information, Vol 13, Iss 5, p 217 (2022)
The Particle Swarm Optimization (PSO) method is a global optimization technique based on the gradual evolution of a population of solutions called particles. The method evolves the particles based on both the best position of each of them in the past
Externí odkaz:
https://doaj.org/article/276c44c60c6541ef85cbbe5776bf2811
Publikováno v:
Symmetry, Vol 14, Iss 3, p 447 (2022)
Differential Evolution (DE) is a method of optimization used in symmetrical optimization problems and also in problems that are not even continuous, and are noisy and change over time. DE optimizes a problem with a population of candidate solutions a
Externí odkaz:
https://doaj.org/article/44a819bfe9b84125a27af2bde9a717cd
Publikováno v:
Symmetry, Vol 13, Iss 11, p 1981 (2021)
A modified version of a common global optimization method named controlled random search is presented here. This method is designed to estimate the global minimum of multidimensional symmetric and asymmetric functional problems. The new method modifi
Externí odkaz:
https://doaj.org/article/bf81f182752b4455a5de2c93078998fc
Publikováno v:
International Journal of Computational Intelligence Studies. 11:1