Results 151 to 160 of about 41,487 (244)

Predicting Porosity in Grain Compression Experiments Using Random Forest and Metaheuristic Optimization Algorithms. [PDF]

Food Sci Nutr
Chen J, Li J, Zheng D, Zhang Y, Jing H, Han J, Wang M, Zhao R.   +7 more
europepmc   +1 more source

Prediction of compressive strength of fiber-reinforced concrete containing silica (SiO₂) based on metaheuristic optimization algorithms and machine learning techniques. [PDF]

Sci Rep
Shokrnia H, KhodabandehLou A, Hamidi P, Ashrafzadeh F, Ashrafzadeh F.   +4 more
europepmc   +1 more source

Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons. [PDF]

Sci Rep
Alabduallah B, Al Dayil R, Al Dayil R, Alkharashi A, Alneil AA.   +4 more
europepmc   +1 more source

PERMMA: Enhancing parameter estimation of software reliability growth models: A comparative analysis of metaheuristic optimization algorithms. [PDF]

PLoS One
Pradhan V, Patra A, Jain A, Jain G, Kumar A, Dhar J, Bandyopadhyay A, Mallik S, Ahmad N, Badawy AS.   +9 more
europepmc   +1 more source

Metaheuristic Optimization Algorithms and Civil Engineering [PDF]

Current Trends in Civil & Structural Engineering, 2018
openaire   +1 more source

Control ofa ThermoelectricCooling Module by Metaheuristic Optimization Algorithms

Havacılık ve Uzay Teknolojileri Dergisi
In this study, the proportional-integral-derivative (PID) controller of a sample thermoelectric cooler(TEC)system model is optimized using four different metaheuristic optimization algorithms.
Tufan KOÇ, Nevra BAYHAN
doaj  

Bioinspired Optimization for Feature Selection in Post-Compliance Risk Prediction. [PDF]

Biomimetics (Basel)
Paz Á, Crawford B, Monfroy E, Rodriguez-Tello E, Barrera-García J, Cisternas-Caneo F, Cortés BL, Lazo Y, Yáñez A, Peña Fritz Á, Soto R.   +10 more
europepmc   +1 more source

Two competitive hybridization approaches based on combining of Giza Pyramids Construction with Particle Swarm Optimization for solving global optimization problems

Inteligencia Artificial
Optimization problems are complex problems that are very difficult to solve. Although these types of problems are solved in the real world using exact methods, these methods are very time-consuming and costly.
Sasan Harifi, Faraz Davachi, Narges Mohammadi, Soheil FaridMohammadzadegan   +3 more
doaj  

Clustering Performance Analysis Using Chaotic and Lévy Flight-Enhanced Black-Winged Kite Algorithms. [PDF]

Biomimetics (Basel)
Alabed T, Servi S.
europepmc   +1 more source

A hybrid metaheuristic algorithm with machine learning for detecting denial-of-service attacks in wireless sensor networks. [PDF]

Front Artif Intell
Prasad A, Arockiasamy K, Gunasekaran K.
europepmc   +1 more source