Improved binary grey wolf optimizer and its application for feature selection
Abstract Grey Wolf Optimizer (GWO) is a new swarm intelligence algorithm mimicking the
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
Granular ball computing classifiers for efficient, scalable and robust learning
S ** study on granular computing
Granular computing has attracted many researchers as a new and rapidly growing paradigm
of information processing. In this paper, we apply systematic map** study to classify the …
of information processing. In this paper, we apply systematic map** study to classify the …
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016
Abstract The journal Knowledge-based Systems (KnoSys) has been published for over 25
years, during which time its main foci have been extended to a broad range of studies in …
years, during which time its main foci have been extended to a broad range of studies in …
Multi-objective optimization of cost-effective and customer-centric closed-loop supply chain management model in T-environment
A Garai, TK Roy - Soft Computing, 2020 - Springer
This article presents one real-life-based cost-effective and customer-centric closed-loop
supply chain management model. The review of the existing literature identifies the classical …
supply chain management model. The review of the existing literature identifies the classical …
Optimized control for medical image segmentation: improved multi-agent systems agreements using Particle Swarm Optimization
The optimal segmentation of medical images remains important for promoting the intensive
use of automatic approaches in decision making, disease diagnosis, and facilitating the …
use of automatic approaches in decision making, disease diagnosis, and facilitating the …
Intrapersonal parameter optimization for offline handwritten signature augmentation
Usually, in a real-world scenario, few signature samples are available to train an automatic
signature verification system (ASVS). However, such systems do indeed need a lot of …
signature verification system (ASVS). However, such systems do indeed need a lot of …
Information granule-based classifier: A development of granular imputation of missing data
Abstract Granular Computing (GrC) is a human-centric way to discover the fundamental
structure of data sets. The resulting information granules can be efficiently exploited to …
structure of data sets. The resulting information granules can be efficiently exploited to …