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Bat algorithm

The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behaviour of microbats, with varying… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Retinal image inspection is crucial to identify and supervise a class of retinal diseases. Image processing procedures are widely… 
2017
2017
Small-disturbance angle stability or low-frequency oscillation is one of the important stability in the power system. Although… 
2017
2017
This paper presents a new damage detection and localization technique based on the changes in vibration parameters using BAT and… 
2015
2015
With the rapid development of social media, users have more options to form spontaneously reading or watch- ing communities, and… 
2015
2015
Association rule mining (ARM) is well-known issue in data mining. It is a combinatorial optimization problem purpose to extract… 
2013
2013
task of recognizing, in a data warehouse, records that pass on to the identical real world entity despite misspelling words… 
2013
2013
Clustering is one of the data analysis methods that are widely used in data mining. In this method, we partitioned the data into… 
2012
2012
This paper presents an approach to overcome the difficulty and complexity in detecting and predicting phishing websites. Existing… 
2012
2012
Bloom filter (BF) is a simple but powerful data structure that can check membership to a static set. The trade-off to use Bloom… 
2012
2012
The purpose of this article is optimising maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as…