A systematic review on bat algorithm: Theoretical foundation, variants, and applications
T Agarwal, V Kumar - Archives of Computational Methods in Engineering, 2022 - Springer
Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …
Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT …
This paper couples an adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-
based computation methods namely biogeography-based optimization (BBO) and BAT …
based computation methods namely biogeography-based optimization (BBO) and BAT …
Improved bat algorithm applied to multilevel image thresholding
A Alihodzic, M Tuba - The Scientific World Journal, 2014 - Wiley Online Library
Multilevel image thresholding is a very important image processing technique that is used as
a basis for image segmentation and further higher level processing. However, the required …
a basis for image segmentation and further higher level processing. However, the required …
Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search
Bat algorithm (BA) turns into the most generally utilized meta-heuristic algorithm to solve the
different sort of global optimization problems. In the optimization of continuous data, BA …
different sort of global optimization problems. In the optimization of continuous data, BA …
A biological sub-sequences detection using integrated BA-PSO based on infection propagation mechanism: Case study COVID-19
The longest common consecutive subsequences (LCCS) play a vital role in revealing the
biological relationships between DNA/RNA sequences especially the newly discovered …
biological relationships between DNA/RNA sequences especially the newly discovered …
[PDF][PDF] An overview of mutation strategies in bat algorithm
Bat algorithm (BA) is a population based stochastic search technique encouraged from the
intrinsic manner of bee swarm seeking for their food source. BA has been mostly used to …
intrinsic manner of bee swarm seeking for their food source. BA has been mostly used to …
Novel quantum inspired approaches for automatic clustering of gray level images using particle swarm optimization, spider monkey optimization and ageist spider …
This paper is intended to identify the optimal number of clusters automatically from an image
dataset using some quantum behaved nature inspired meta-heuristic algorithms. Due to the …
dataset using some quantum behaved nature inspired meta-heuristic algorithms. Due to the …
Design of fuzzy controller rule base using bat algorithm
N Talbi - Energy Procedia, 2019 - Elsevier
The work in this paper revolves fundamentally around the main axes of fuzzy control of the
type Takagi-Sugeno (TS) zero order for dynamic, complex nonlinear systems. In this paper …
type Takagi-Sugeno (TS) zero order for dynamic, complex nonlinear systems. In this paper …
Hybridized bat algorithm for multi-objective radio frequency identification (RFID) network planning
This paper introduces implementation of hybridized bat algorithm for multi-objective radio
frequency identification network planning problem. Multi-objective RFID problem is a well …
frequency identification network planning problem. Multi-objective RFID problem is a well …
Handwritten digit recognition by support vector machine optimized by bat algorithm
Handwritten digit recognition is an important but very hard practical problem. This is a
classification problem for which support vector machines are very successfully used …
classification problem for which support vector machines are very successfully used …