Results 41 to 50 of about 77,914 (161)

Multiobjective Optimization Based on Gene Expression Programming

工程科学与技术, 2007
:Traditional Multiobjective Optimization Algorithms are inefficiency in high dimensional decision space. To solve this problem, a novel method named Multiobjective Optimization based on Gene Expression Programming (GEPMO) was proposed.
doaj  

Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction

Complexity, 2018
The paper proposes an incremental Gene Expression Programming classifier. Its main features include using two-level ensemble consisting of base classifiers in form of genes and the upper-level classifier in the form of metagene.
Joanna Jedrzejowicz, Piotr Jedrzejowicz
doaj   +1 more source

Multimodal Function Optimization Based on Niche Gene Expression Programming

工程科学与技术, 2009
:Traditional Gene Expression Programming (GEP) can not discover all optimum solutions for specific multimodal function. To solve this problem, the niche technology was applied to GEP.
Li Tai-Yong, Tang Chang-Jie, Wu Jiang
doaj  

Mining Recursive Functions Based on Gene Expression Programming

工程科学与技术, 2007
:Traditional Gene Expression Programming (GEP) is bare of discovering recursive functions. The limitation of function mining of the traditional GEP was analyzed.Revised algorithm GEP RecurMiner based on recursive chromosomes and Dynamic Selection ...
doaj  

Hypoxia in extravillous trophoblasts links maternal obesity and offspring neurobehavior

iScience
Summary: While maternal obesity (MO) is associated with neurobehavioral impairment (NBI) in offspring, the underlying mechanisms remain unknown. The placenta is thought to play a role in fetal programming.
Fatima Gunter-Rahman, Shayna Mallett, Frédérique White, Pierre-Étienne Jacques, Ravikiran M. Raju, Marie-France Hivert, Eunjung Alice Lee   +6 more
doaj   +1 more source

Research on fractal image compression hybrid algorithm based on convolutional neural network and gene expression programming

Journal of Algorithms & Computational Technology, 2019
Regarding the problems of insufficient image segmentation intelligence, low compression rate, slow speed for global searching to find the optimal fractal image compression encoding, and bad decoding effect, this article proposes the fractal image ...
Wenjing Li, Qiuxia Pan, Shiaofang Liang, Jiang Yin Jiao   +3 more
doaj   +1 more source

Gene Expression Programming Solution Space Model Based on Phenotype

工程科学与技术, 2017
:The theory of solution space model has practical significance to improve the performance of Gene Expression Programming (GEP) algorithms.There are few studies on the GEP solution space model,and the theoretical research on GEP phenotype is also scarce ...
Guo Yong, He Pei, Zhang Guofeng, Guo Shunchao, Si Yongjie   +4 more
doaj  

Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms

Heliyon
Fiber-reinforced polymers (FRP) are widely utilized to improve the efficiency and durability of concrete structures, either through external bonding or internal reinforcement.
Majid Khan, Adil Khan, Asad Ullah Khan, Muhammad Shakeel, Khalid Khan, Hisham Alabduljabbar, Taoufik Najeh, Yaser Gamil   +7 more
doaj   +1 more source

On the evaluation of the carbon dioxide solubility in polymers using gene expression programming. [PDF]

Sci Rep, 2023
Amiri-Ramsheh B, Nait Amar M, Shateri M, Hemmati-Sarapardeh A.   +3 more
europepmc   +1 more source

Performance Prediction of Hybrid Bamboo-Reinforced Concrete Beams Using Gene Expression Programming for Sustainable Construction. [PDF]

Materials (Basel), 2023
Waqas HA, Bahrami A, Sahil M, Poshad Khan A, Ejaz A, Shafique T, Tariq Z, Ahmad S, Özkılıç YO.   +8 more
europepmc   +1 more source