Results 41 to 50 of about 1,850 (182)

Wavelength Selection for NIR Spectroscopy Based on the Binary Dragonfly Algorithm

Molecules, 2019
Wavelength selection is an important preprocessing issue in near-infrared (NIR) spectroscopy analysis and modeling. Swarm optimization algorithms (such as genetic algorithm, bat algorithm, etc.) have been successfully applied to select the most effective
Yuanyuan Chen, Zhibin Wang
doaj   +1 more source

Credibilistic Mean-Semi-Entropy Model for Multi-Period Portfolio Selection with Background Risk

Entropy, 2019
In financial markets, investors will face not only portfolio risk but also background risk. This paper proposes a credibilistic multi-objective mean-semi-entropy model with background risk for multi-period portfolio selection.
Jun Zhang, Qian Li
doaj   +1 more source

Mexican Axolotl Optimization: A Novel Bioinspired Heuristic

Mathematics, 2021
When facing certain problems in science, engineering or technology, it is not enough to find a solution, but it is essential to seek and find the best possible solution through optimization.
Yenny Villuendas-Rey, José L. Velázquez-Rodríguez, Mariana Dayanara Alanis-Tamez, Marco-Antonio Moreno-Ibarra, Cornelio Yáñez-Márquez   +4 more
doaj   +1 more source

Development of evolutionarily optimized random forest models to accurately estimate coke strength after reaction

Results in Engineering
Accurate prediction of coke strength after reaction (CSR) is essential for optimizing coke quality in the metallurgical industry, thereby minimizing production costs and maximizing resource utilization.
Jamal I. Al-Nabulsi, Zaid Ajzan Alsalami, Deepak J, Johar MGM, Anupama Routray, Karthikeyan A, Harjot Singh Gill, Yashwant Singh Bisht, Samim Sherzod   +8 more
doaj   +1 more source

BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection

IEEE Access, 2023
The Arithmetic Optimization Algorithm (AOA) is a recently proposed metaheuristic algorithm that has been shown to perform well in several benchmark tests.
Nima Khodadadi, Ehsan Khodadadi, Qasem Al-Tashi, El-Sayed M. El-Kenawy, Laith Abualigah, Said Jadid Abdulkadir, Alawi Alqushaibi, Seyedali Mirjalili   +7 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

A Termite‐Inspired Alternative to Cement

Advanced Functional Materials, EarlyView.
A termite‐inspired composite of clay, cellulose, and lignin forms a dense fibrous network with concrete‐like strength (32 MPa) and superior elasticity, processed at ambient temperature. Abstract Clay combined with organic materials is used by termites as a strong and durable construction material for their mounds with minimal environmental impact. Here,
Oren Regev, Peter Fratzl, Emeline Raguin, Markus Antonietti   +3 more
wiley   +1 more source

Solving large-scale discrete time–cost trade-off problem using hybrid multi-verse optimizer model

Scientific Reports, 2023
The analysis of the relationship between time and cost is a crucial aspect of construction project management. Various optimization techniques have been developed to solve time–cost trade-off problems.
Pham Vu Hong Son, Nghiep Trinh Nguyen Dang   +1 more
doaj   +1 more source

Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model

Energy Reports, 2021
Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting solar energy. The current study proposed a novel intelligence model through hybridization of Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic
Hai Tao, Ahmed A. Ewees, Ali Omran Al-Sulttani, Ufuk Beyaztas, Mohammed Majeed Hameed, Sinan Q. Salih, Asaad M. Armanuos, Nadhir Al-Ansari, Cyril Voyant, Shamsuddin Shahid, Zaher Mundher Yaseen   +10 more
doaj   +1 more source

Hybrid Binary Dragonfly Optimization Algorithm with Statistical Dependence for Feature Selection [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2020
The aim of the feature selection technique is to obtain the most important information from a specific set of datasets. Further elaborations in the feature selection technique will positively affect the classification process, which can be applied in ...
Omar S. Qasim, Mohammed Sabah Mahmoud, Fatima Mahmood Hasan   +2 more
doaj   +1 more source