Highly efficient perfect vortex beams generation based on all-dielectric metasurface for ultraviolet light

MD Shafqat, N Mahmood, M Zubair, MQ Mehmood… - Nanomaterials, 2022 - mdpi.com
Featuring shorter wavelengths and high photon energy, ultraviolet (UV) light enables many
exciting applications including photolithography, sensing, high-resolution imaging, and …

Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete

SA Moghaddas, M Nekoei, EM Golafshani… - Applied Soft …, 2022 - Elsevier
The use of recycled aggregate concrete (RAC) in the construction industry can help to
prevent irreparable environmental damages and to mitigate the depletion rate of natural …

Graph representations in genetic programming

L Françoso Dal Piccol Sotto, P Kaufmann… - … and Evolvable Machines, 2021 - Springer
Graph representations promise several desirable properties for genetic programming (GP);
multiple-output programs, natural representations of code reuse and, in many cases, an …

Solving artificial ant problem using two artificial bee colony programming versions

F Boudardara, B Gorkemli - Applied Intelligence, 2020 - Springer
Artificialant problem is considered as a sub-problem of robotic path planning. In this study, it
is solved using two different methods: artificial bee colony programming and a new version …

A quick semantic artificial bee colony programming (qsABCP) for symbolic regression

B Gorkemli, D Karaboga - Information Sciences, 2019 - Elsevier
Artificial bee colony programming (ABCP) is a novel evolutionary computation based
automatic programming method, which uses the basic structure of artificial bee colony (ABC) …

Investigation of linear genetic programming for dynamic job shop scheduling

Z Huang, Y Mei, M Zhang - 2021 IEEE Symposium Series on …, 2021 - ieeexplore.ieee.org
Using genetic programming-based hyper-heuristic methods to automatically design
dispatching rules has become one of the most effective methods to solve dynamic job shop …

A study on graph representations for genetic programming

LFDP Sotto, P Kaufmann, T Atkinson… - Proceedings of the …, 2020 - dl.acm.org
Graph representations promise several desirable properties for Genetic Programming (GP);
multiple-output programs, natural representations of code reuse and, in many cases, an …

Introduction of ABCEP as an automatic programming method

M Nekoei, SA Moghaddas, EM Golafshani… - Information …, 2021 - Elsevier
Automatic programming is a branch of artificial intelligence that presents each solution as a
mathematical formula based on heuristic mechanisms. In this study, artificial bee colony …

Immune Plasma Programming: A new evolutionary computation-based automatic programming method

S Arslan - Applied Soft Computing, 2024 - Elsevier
Immune plasma therapy, one of the treatment modalities, has proven effective in combating
the now rapidly spreading COVID-19 and many other pandemics. The immune plasma …

Automated CNN optimization using multi-objective grammatical evolution

CACF da Silva, DC Rosa, PBC Miranda, T Si… - Applied Soft …, 2024 - Elsevier
Abstract Selecting and optimizing Convolutional Neural Networks (CNNs) has become a
very complex task given the number of associated optimizable parameters, as well as the …