In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …

Real-world engineering design problems are widespread in various research disciplines in
both industry and industry. Many optimization algorithms have been employed to address …

Page 1 不确定理论与优化丛书 Uncertainty Theory and Optimization Series 不确定规划及应用
Uncertain Programming with Applications 刘宝碇赵瑞清王纲著 Liu Baoding Zhao Ruiqing …

Abstract A BCMO-ANN algorithm for vibration and buckling optimization of functionally
graded porous (FGP) microplates is proposed in this paper. The theory is based on a unified …

Many optimization problems in reality involve both continuous and discrete decision
variables, and these problems are called mixed-variable optimization problems (MVOPs) …

Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

Convolutional neural networks (CNNs) have gained remarkable success on many image
classification tasks in recent years. However, the performance of CNNs highly relies upon …

Many population-dependent solutions have recently been suggested. Despite their
widespread adoption in many applications, we are still researching using suggested …

The integration of demand side management (DSM) with smart grid (SG) can facilitate
residents' transfer into smart homes and sustainable cities by reducing the carbon emission …

The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …