Squirrel Search Algorithm for Portfolio Optimization by Dhaini, Mahdi

“…SSA is a very recent swarm intelligence algorithm inspired by the dynamic foraging behavior of flying squirrels. …”
Get full text
Get full text
Get full text

Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

“…ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
Get full text

Automating UML Models Refactoring using Search-Based Algorithms by unknown

Get full text

Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

“…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
Get full text
Get full text
Get full text

Quality estimation models optimization using genetic algorithms: Case of maintainability by Azar, D.

Get full text
Get full text

An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

“…The proposed algorithm out performed fairly well the results that exists from previous studies. …”
Get full text

Improved Transportation Model with Internet of Things Using Artificial Intelligence Algorithm by Ayman Khallel Al-Ani (17541447)

A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading by Saoud A. Al-Janahi (18877213)

“…Partial shading, in this case, is observed due to the complexly shaped roof. This paper studies the partial shading effect on one of Qatar’s most recent projects (metro stations), and models the Education City station, which is a major station. …”

Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

“…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
Get full text

A systematic review of text classification research based on deep learning models in Arabic language by Wahdan, Ahlam

“…Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms. …”
Get full text
Get full text

Detecting Game Bugs Using Genetic Algorithms And Reachability Analysis Of Colored Petri Nets Models by unknown

Get full text

Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms by Almahmood, Mothanna

“…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
Get full text

Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm by A. Hamdi (17906918)

“…Using the WTI crude oil spot prices, the parameters involved in the proposed commodity regime-switching model are estimated by expectation–maximization algorithm. …”

Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm by De Rochechouart, Maxence

Get full text

Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications by Hussie, Abdelazim

Get full text

Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) by Ghalayini, Iman Adnan

Get full text
Get full text

Efficient heuristic algorithms for influence propagation in social networks. (c2018) by Lamaa, Karine H.

“…Our objective in this work is to find a set of individuals that can collectively serve as influencers. We model the problem using the previously studied notion of a positive influence dominating set. …”
Get full text
Get full text
Get full text

Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

Get full text

Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms by Emara-Shabaik, Husam

“…In this paper, a modified genetic algorithm is used as a procedure to solve the parameter identification problem of the nonlinear Wiener-Hammerstein models. …”
Get full text

Combining and adapting software quality predictive models by genetic algorithms by Azar, D.

Get full text
Get full text
Get full text
Get full text