The vast majority of human rabies cases in the USA have resulted from virus types that are carried by bats. Significantly, most of these case-patients did not report having been bitten by a bat. This suggests that some bites or scratches from bats may be so minor as to go unnoticed, disregarded, or forgotten, yet can still result in transmission of the rabies virus.
https://www.dhs.wisconsin.gov/rabies/algorithm/batexposuredefined.htm
Enhanced Bat Inspired Algorithm for Solving Travelling Salesman Problem M. Sornam1 1(Department of Computer Science, University of Madras, India) Abstract: Bat-Inspired Algorithm is evocative meta-heuristic algorithm planted on the echolocation behavior of bats. The proficiency of echolocation of bats can find their quarry in complete darkness. This Paper presents the enhancement of Bat-Inspired Algorithm by combining particle swarm optimization (PSO) for solving
http://ijlemr.com/papers/volume2-issue11/5-IJLEMR-22524.pdf
The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010 that has been found very efficient. As a result, the literature has expanded significantly since then. This chapter provides a detailed introduction to BA and its new variants.
https://www.sciencedirect.com/science/article/pii/B9780124167438000105
One such algorithm is Bat algorithm which has diverse applications [33]. In [6] a simple Bat algorithm was used to solve constrained based optimization problem. A novel hybrid algorithm was designed for global numerical optimization by using Bat algorithm and Harmonic Search (HS) [27] . Another approach used Bat algorithm for solving optimization problems in engineering field [34]. For the first time Bat algorithm was used to select features from various digital data sets [18]. In [22] Optimum-path forest technique and Bat algorithm were combined to select the features using wrapper approach. Gradually from
http://aircconline.com/ijscai/V5N3/5316ijscai01.pdf
Bat algorithm was also used for clustering by combining traditional K-means clustering with simple Bat algorithm [25]. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), Vol.5, No.2/3, August 2016
http://aircconline.com/ijscai/V5N3/5316ijscai01.pdf
performance of Bat algorithm for the classification of breast cancer data into benign and malignant classes. The breast cancer is chosen as a classification problem because it is one of the
http://aircconline.com/ijscai/V5N3/5316ijscai01.pdf
They should NOT be construed to mean that simply being in the same area as a bat constitutes an exposure for a competent conscious adult or older child. Return to the algorithm Last Revised: January 2, 2018
https://www.dhs.wisconsin.gov/rabies/algorithm/batexposuredefined.htm
Calculate the fitness of the each bat in the population, then the bat‟s position is adjusted and selected depending upon the current best values of the bats. It compares the fitness value of each bat with current Fig. 1. Enhanced Bat algorithm Best solution of the bats. The loudness A i and the rate r i of pulse emission have to be updated in each
http://ijlemr.com/papers/volume2-issue11/5-IJLEMR-22524.pdf
In all instances of potential bat exposures, the bat in question should be safely collected, if possible, and submitted for rabies diagnosis. This will eliminate the need to consider prophylaxis in most cases.
https://www.dhs.wisconsin.gov/rabies/algorithm/batexposuredefined.htm
salesman problem (TSP) using enhanced bat algorithm. First formulate the bat algorithm with PSO by idealizing the local best solution, global best solution and echolocation behavior of bats. Then describe how it works and make comparison with different benchmark function with other existing algorithms. The paper is organized as follows.
http://ijlemr.com/papers/volume2-issue11/5-IJLEMR-22524.pdf
what is a algorithm in bat
A algorithm in BAT is a bio-inspired algorithm developed by Xin-She Yang in 2010 that has been found very efficient. The bat algorithm is a bio-inspired algorithm developed by Xin-She Yang in 2010 that has been found very efficient. The Bat algorithm is a bio-inspired algorithm developed by Xin-She Yang in 2010 that has been found very efficient.