A comparative review between Genetic Algorithm use in composite optimisation and the state-of-the-art in evolutionary computation

ZZ Wang, A Sobey - Composite Structures, 2020 - Elsevier
The task of providing optimal composite structures is increasingly difficult. New analysis
approaches seek to model the material at the fibre/matrix scale and increasingly more …

Adaptive repair method for constraint handling in multi-objective genetic algorithm based on relationship between constraints and variables

F Samanipour, J Jelovica - Applied Soft Computing, 2020 - Elsevier
While evolutionary algorithms are known among the best methods for solving both
theoretical and real-world optimization problems, constraint handling is still one of the major …

The benefits of co-evolutionary Genetic Algorithms in voyage optimisation

S Khan, P Grudniewski, YS Muhammad, AJ Sobey - Ocean Engineering, 2022 - Elsevier
Reducing emissions is of increasing global importance. Within shipping, the International
Maritime Organisation's regulations are putting pressure on companies to quickly reduce …

Drag force coefficient of the flexible vegetation root in an artificial floating bed channel

Y Bai, W Xuan - Ecological Engineering, 2022 - Elsevier
As the artificial floating bed (AFB) is more extensively applied in water treatment, the
hydraulic characteristics of the AFB has been broadly investigated. However, the …

[PDF][PDF] Mechanical parameter inversion in sandstone diversion tunnel and stability analysis during operation period

Z Wang, X Chen, X Xue, L Zhang… - Civil Engineering …, 2019 - pdfs.semanticscholar.org
A large number of experimental studies show that the mechanical parameters of deep
buried surrounding rock show significant attenuation characteristics with the increase of …

Behaviour of multi-level selection genetic algorithm (MLSGA) using different individual-level selection mechanisms

PA Grudniewski, AJ Sobey - Swarm and evolutionary computation, 2019 - Elsevier
Abstract The Multi-Level Selection Genetic Algorithm (MLSGA) is shown to increase the
performance of a simple Genetic Algorithm. It is unique among evolutionary algorithms as its …

UAV signal recognition of heterogeneous integrated KNN based on genetic algorithm

Y Xue, Y Chang, Y Zhang, J Sun, Z Ji, H Li… - Telecommunication …, 2024 - Springer
To address the detection difficulty problem of unmanned aerial vehicles (UAVs) in complex
electromagnetic environments, this paper proposes a genetic algorithm-based …

Coevolutionary strategies at the collective level for improved generalism

PA Grudniewski, AJ Sobey - Data-Centric Engineering, 2023 - cambridge.org
In many complex practical optimization cases, the dominant characteristics of the problem
are often not known prior. Therefore, there is a need to develop general solvers as it is not …

Identification of Process Parameters and Optimization Techniques for AA 6061 in FSW: State-of-the-art

EM Sefene, AA Tsegaw - … Conference on Advances of Science and …, 2020 - Springer
Abstract Friction Stir Welding (FSW) is a new method of solid state joining of metals and
nonmetals as a substitute technology applied in high strength alloys that are challenging in …

Prospects of evolution-based artificial intelligence models in genome-wide studies to stratify genetic risk variants in nonalcoholic fatty liver disease

H Huang, WA Awuah, T Garg, JC Ng… - Annals of Medicine …, 2023 - journals.lww.com
The emergence of genome-wide association studies (GWAS) has identified genetic traits
and polymorphisms that are associated with the progression of nonalcoholic fatty liver …