A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms
RS Parpinelli, GF Plichoski… - … Journal of Bio …, 2019 - inderscienceonline.com
The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …
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 …
An improved bat algorithm hybridized with extremal optimization and Boltzmann selection
As a meta-heuristic algorithm, bat algorithm (BA) is based on the characteristics of bat-based
echolocation and has been widely used in various aspects of optimization problems since it …
echolocation and has been widely used in various aspects of optimization problems since it …
A novel hybrid bat algorithm for solving continuous optimization problems
Q Liu, L Wu, W Xiao, F Wang, L Zhang - Applied Soft Computing, 2018 - Elsevier
Abstract The Bat Algorithm (BA), which is a global optimization method, performs poorly on
complex continuous optimization problems due to BA's disadvantages such as the …
complex continuous optimization problems due to BA's disadvantages such as the …
Optimization of neural network using improved bat algorithm for data classification
Artificial neural network (ANN) contributes significant advantages in medical research. In the
field of medical imaging and health care application, ANN performs the significant role by …
field of medical imaging and health care application, ANN performs the significant role by …
A novel meta-heuristic algorithm: dynamic virtual bats algorithm
Nature-inspired algorithms are a very important part of meta-heuristics. A novel nature
inspired algorithm called the Dynamic Virtual Bats Algorithm (DVBA) is presented in this …
inspired algorithm called the Dynamic Virtual Bats Algorithm (DVBA) is presented in this …
[HTML][HTML] An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications
The multi-objective grasshopper optimization algorithm (MOGOA) is a relatively new
algorithm inspired by the collective behavior of grasshoppers, which aims to solve multi …
algorithm inspired by the collective behavior of grasshoppers, which aims to solve multi …
A modified bat algorithm with torus walk for solving global optimisation problems
Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …
In accordance with the optimisation problems, balance between the two major components …
A review of metaheuristic algorithms for optimizing 3D well-path designs
K Biswas, PM Vasant, JAG Vintaned… - Archives of Computational …, 2021 - Springer
Due to a variety of possible good types and so many complex drilling variables and
constraints, optimization of the trajectory of a complex wellbore is very challenging. There …
constraints, optimization of the trajectory of a complex wellbore is very challenging. There …
Critical analysis: bat algorithm-based investigation and application on several domains
Purpose The purpose of this study is to provide the reader with a full study of the bat
algorithm, including its limitations, the fields that the algorithm has been applied, versatile …
algorithm, including its limitations, the fields that the algorithm has been applied, versatile …