Search alternatives:
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
model optimization » level optimization (Expand Search), motor optimization (Expand Search), monkey optimizations (Expand Search)
binary a » binary rat (Expand Search)
while optimization » whale optimization (Expand Search), chimp optimization (Expand Search), spider optimization (Expand Search)
model optimization » level optimization (Expand Search), motor optimization (Expand Search), monkey optimizations (Expand Search)
binary a » binary rat (Expand Search)
-
1
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are binary. The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. …”
Get full text
-
2
-
3
-
4
A new genetic algorithm approach for unit commitment
Published 1997“…The former is solved using the proposed genetic algorithm while the latter problem is solved via a quadratic programming routine. …”
Get full text
Get full text
article -
5
-
6
An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study
Published 2022“…The developed model, which is implemented using the Binary Particle Swarm Optimization algorithm subjected to economic and environmental objectives within an overarching strategic aim for sustainability and resilience. …”
-
7
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
-
8
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …”
-
9
-
10
A method for data path synthesis using neural networks
Published 2017“…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject