The inverse modeling multi-objective evolutionary algorithm (IM-MOEA) is a method to solve
multi-objective optimization problems (MOP) that samples candidate solutions straight from …

Abstract Many-Objective Optimization Problems, or MaOPs, are complex optimization
problems with more than three objective functions. Traditional Multi-Objective Evolutionary …

In multi-objective optimization, it becomes prohibitively difficult to cover the Pareto front (PF)
as the number of points scales exponentially with the dimensionality of the objective space …

The model‐based evolutionary algorithms are divided into three groups: estimation of
distribution algorithms, inverse modeling, and surrogate modeling. Existing inverse …

In agriculture sector, machine learning has been widely used by researchers for crop yield
prediction. However, it is quite difficult to identify the most critical features from a dataset …

Aim: To predict the loan of the person using Random Forest Algorithm (RF) over Logistic
Regression Algorithm (LR). Materials and Methods: The existing model uses a logistic …

With the development of social economy, the public's awareness of participating in the
natural protection of the environment has gradually increased, and a certain organizational …

Currently, meteorological departments simply categorize agrometeorological disasters into
general meteorological disasters, major meteorological disasters and extreme …

In UAV navigation, the simultaneous minimization of distance traveled and the threat of
radar detection is two criteria in many military applications. The use of many-objective …

Pollution poses a huge threat to the water ecosystem and human production and life, and
emergency response to water pollution (WP) incidents has become an important issue. The …