|
|
|
|
|
Ioannis X. Tassopoulos, Christina A. Iliopoulou, Iosif V. Katsaragakis and Grigorios N. Beligiannis
This paper deals with the school timetabling problem. The problem was formulated as encountered in a typical Greek high school. A local version of the particle swarm optimization algorithm was developed and applied to the problem at hand. Results on well...
ver más
|
|
|
|
|
|
|
|
|
Ioannis G. Tsoulos and Vasileios Charilogis
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 in ...
ver más
|
|
|
|
|
|
|
|
|
Junhua Wang, Junfei Xu, Yan Lu, Tancheng Xie, Jianjun Peng, Junliang Chen and Yanwei Xu
Laser?arc composite additive manufacturing holds significant potential for a wide range of industrial applications, and the control of morphological dimensions in the deposited layer is a critical aspect of this technology. The width and height dimension...
ver más
|
|
|
|
|
|
|
|
|
Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
ver más
|
|
|
|
|
|
|
|
|
Alkmini Michaloglou and Nikolaos L. Tsitsas
Brain storm optimization (BSO) and particle swarm optimization (PSO) are two popular nature-inspired optimization algorithms, with BSO being the more recently developed one. It has been observed that BSO has an advantage over PSO regarding exploration wi...
ver más
|
|
|
|