Multiple objective structural optimization is a challenging problem in which suitable optimization methods are needed to find optimal solutions. Therefore, to answer such …
This study proposes a new method called k-nearest neighbor comparison (k-NNC) to address the computational cost issue of truss optimization with discrete variables using …
Cloud computing delivers practical solutions for long-term image archiving systems. Cloud data centers consume enormous amounts of electrical energy that increases their …
The analysis of the evolution of population pyramids is crucial to study and tackle the growing issue associated to the depopulation of different regions around the world. This task …
AO Bassin, MV Buzdalov, AA Shalyto - Automatic Control and Computer …, 2021 - Springer
Self-adjustment of parameters can significantly improve the performance of evolutionary algorithms. A notable example is the (1+(λ, λ)) genetic algorithm, where adaptation of the …
Several methods have been used to solve structural optimum design problems since the creation of a need for light weight design of structures and there is still no single method for …
M Buzdalov - 2022 IEEE Congress on Evolutionary …, 2022 - ieeexplore.ieee.org
Many discrete optimization problems feature plateaus, which are hard to evolutionary algorithms due to the lack of fitness guidance. While higher mutation rates may assist in …