Search alternatives:
long optimization » dog optimization (Expand Search), global optimization (Expand Search), level optimization (Expand Search)
a optimization » _ optimization (Expand Search), dog optimization (Expand Search), swarm optimization (Expand Search)
using a » using _ (Expand Search)
long optimization » dog optimization (Expand Search), global optimization (Expand Search), level optimization (Expand Search)
a optimization » _ optimization (Expand Search), dog optimization (Expand Search), swarm optimization (Expand Search)
using a » using _ (Expand Search)
-
1
-
2
An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 2022“…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
-
3
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Datasets can be classified using various methods. Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
Get full text
-
4
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. …”
Get full text
-
5
-
6
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 -
7
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
-
8
A method for data path synthesis using neural networks
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
9
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. …”
-
10
-
11
Decision trees
Published 2026“…An overview of the basic theory behind decision trees coupled with a summary of binary, multi-way, robust, and optimal decision tree algorithms support social scientists in the use of these supervised machine learning tools for both exploratory and predictive analytic contexts.…”
Get full text
Get full text
Get full text
bookPart -
12
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
doctoralThesis -
13
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 first model (M1) determines the oil-water FP, whereas the second model (M2) predicts the oil-water PG. 1637 experimental data points for the oil-water flow in both horizontal and inclined pipes are used to develop the models. The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
-
14
-
15
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. …”