Black hole: A new heuristic optimization approach for data clustering
A Hatamlou - Information sciences, 2013 - Elsevier
Nature has always been a source of inspiration. Over the last few decades, it has stimulated
many successful algorithms and computational tools for dealing with complex and …
many successful algorithms and computational tools for dealing with complex and …
A review of ant colony optimization based methods for detecting epistatic interactions
J Shang, X Wang, X Wu, Y Sun, Q Ding, JX Liu… - IEEE …, 2019 - ieeexplore.ieee.org
Detection of epistatic interactions, which are referred to as nonlinear interactive effects of
single nucleotide polymorphisms (SNPs), is increasingly being recognized as an important …
single nucleotide polymorphisms (SNPs), is increasingly being recognized as an important …
Cooperative path planning of multiple UAVs by using max–min ant colony optimization along with cauchy mutant operator
ZA Ali, H Zhangang, WB Hang - Fluctuation and Noise Letters, 2021 - World Scientific
In a dynamic environment with wind forces and tornadoes, eliminating fluctuations and noise
is critical to get the optimal results. Avoiding collision and simultaneous arrival of multiple …
is critical to get the optimal results. Avoiding collision and simultaneous arrival of multiple …
Black hole algorithm and its applications
Bio-inspired computation is a field of study that connects together numerous subfields of
connectionism (neural network), social behavior, emergence field of artificial intelligence …
connectionism (neural network), social behavior, emergence field of artificial intelligence …
Diagnosis of diabetes diseases using optimized fuzzy rule set by grey wolf optimization
K Manikandan - Pattern Recognition Letters, 2019 - Elsevier
Diabetes disease increased with a high rate due to unhealthy lifestyle, work culture, and
lacking of physical activity. Diabetes is an incurable and chronic disease but early sugar …
lacking of physical activity. Diabetes is an incurable and chronic disease but early sugar …
epiACO-a method for identifying epistasis based on ant Colony optimization algorithm
Y Sun, J Shang, JX Liu, S Li, CH Zheng - BioData mining, 2017 - Springer
Background Identifying epistasis or epistatic interactions, which refer to nonlinear interaction
effects of single nucleotide polymorphisms (SNPs), is essential to understand disease …
effects of single nucleotide polymorphisms (SNPs), is essential to understand disease …
A chaotic digital secure communication based on a modified gravitational search algorithm filter
XH Han, XM Chang - Information Sciences, 2012 - Elsevier
Research in recent years has seen the development of chaotic systems for secure
communication. However, most chaotic systems fail to compensate for channel noise which …
communication. However, most chaotic systems fail to compensate for channel noise which …
A survey on swarm intelligence search methods dedicated to detection of high-order SNP interactions
S Tuo, H Chen, H Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Detecting high-order single-nucleotide polymorphism (SNP) interactions is of great
importance for the discovery of pathogenic causes of human complex diseases. However, a …
importance for the discovery of pathogenic causes of human complex diseases. However, a …
Near-unity uniformity and efficiency broadband meta-beam-splitter/combiner
Subwavelength planar structured interfaces, also known as metasurfaces, are ultra-thin
optical elements modulating the amplitude, phase, and polarization of incident light using …
optical elements modulating the amplitude, phase, and polarization of incident light using …
A task operation model for resource allocation optimization in business process management
Resource allocation, as an integral part of business process management (BPM), is more
widely acknowledged by its importance for process-aware information systems. Despite the …
widely acknowledged by its importance for process-aware information systems. Despite the …