Results 221 to 230 of about 13,786 (251)

Bat algorithm with principal component analysis

International Journal of Machine Learning and Cybernetics, 2018
The bat algorithm (BA) is a novel evolutionary optimization algorithm, most studies of which have been performed with low-dimensional problems. To test and improve the global search ability of BA with large-scale problems, two new variants using principal component analysis (PCA_BA and PCA_LBA) are designed in this paper.
Zhihua Cui, Feixiang Li, Wensheng Zhang 0002   +2 more
openaire   +2 more sources

Modified bat algorithm with quaternion representation

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
This paper introduces a modified bat algorithm using quaternion representation of individuals. Quaternions are a number system, which extends complex numbers. They are successfully applied to problems of theoretical physics and to those areas needing fast rotation calculations.
Iztok Fister 0001, Janez Brest, Iztok Fister Jr., Xin-She Yang 0001   +3 more
openaire   +1 more source

Enhanced shuffled bat algorithm (EShBAT)

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Bat Algorithm (BA) is a simple and effective global optimization algorithm which has been applied to a wide range of real-world optimisation problems. Various extensions to Bat algorithm have been proposed in the past; prominent amongst them being ShBAT. ShBAT is a hybrid between BA and Shuffled Frog Leaping Algorithm-SFLA; a memetic algorithm based on
Reshu Chaudhary, Hema Banati
openaire   +2 more sources

Unconstrained optimisation through bat algorithm

International Journal of Intelligent Engineering Informatics, 2014
Swarm-based metaheuristic algorithms have bridged the gap from ideal situation to reality. They have been successful in removing the limitations of conventional methods by providing optimal and sub-optimal solutions to those optimisation problems which were earlier considered next to impossible.
Shruti Goel, Nishant Goel, Divya Gupta
openaire   +2 more sources

Bat Algorithm

2020
Xin-She Yang, Adam Slowik
  +4 more sources

Batting order optimization by genetic algorithm

Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, 2012
Baseball has been widely studied in various ways, including math and statistics. In a baseball game, an optimized batting order helps the team achieves greater number of runs in a season. This paper introduces a method that combines a genetic algorithm with a statistical simulation to identify a non-optimal batting order.
openaire   +1 more source

Cultural Bat Optimization Algorithm: An Improved Variant of Bat Algorithm

2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON), 2022
K. A. Amalo, S. I. Birninkudu, B. B. Bukata   +2 more
openaire   +1 more source

Study of Parameter Sensitivity on Bat Algorithm

2017
Heuristics and metaheuristics are known to be sensitive to input parameters. Bat algorithm (BA), a recent optimization metaheuristic, has a great number of input parameters that need to be adjusted in order to increase the quality of the results. Despites the crescent number of works with BA in literature, to the best of our knowledge, there is no work
Iago Augusto de Carvalho, Daniel G. da Rocha, João Gabriel Rocha Silva, Vinícius da Fonseca Vieira, Carolina Ribeiro Xavier   +4 more
openaire   +1 more source

Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots

Neural Networks, 2023
José de Jesús Rubio
exaly  

A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem

Expert Systems With Applications, 2021
Yassine Saji
exaly