Results 41 to 50 of about 5,763,429 (310)

An Improved Bat Algorithm with Grey Wolf Optimizer for Solving Continuous Optimization Problems [PDF]

open access: yesJournal of Advances in Computer Engineering and Technology, 2020
Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near ...
narges jafari   +1 more
doaj  

A Modified Bat Algorithm with Conjugate Gradient Method for Global Optimization

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2020
Metaheuristic algorithms are used to solve many optimization problems. Firefly algorithm, particle swarm improvement, harmonic search, and bat algorithm are used as search algorithms to find the optimal solution to the problem field.
Huda I. Ahmed   +2 more
doaj   +1 more source

Data Clustering Method Based on Improved Bat Algorithm With Six Convergence Factors and Local Search Operators

open access: yesIEEE Access, 2020
Clustering as an unsupervised learning method is a process of dividing a data object or observation object into a subset, that is to classify the data through observation learning instead of example learning without the guidance of the prior class label ...
L. F. Zhu   +5 more
doaj   +1 more source

An improved discrete bat algorithm for symmetric and asymmetric traveling salesman problems [PDF]

open access: yes, 2015
Bat algorithm is a population metaheuristic proposed in 2010 which is based on the echolocation or bio-sonar characteristics of microbats. Since its first implementation, the bat algorithm has been used in a wide range of fields.
Carballedo, Roberto   +4 more
core   +2 more sources

A novel framework for prediction of dam deformation based on extreme learning machine and Lévy flight bat algorithm

open access: yesJournal of Hydroinformatics, 2021
Dam deformation monitoring and prediction are crucial for evaluating the safety of reservoirs. There are several elements that influence dam deformation. However, the mixed effects of these elements are not always linear.
Youliang Chen   +4 more
doaj   +1 more source

Autonomous navigation and obstacle avoidance of an omnidirectional mobile robot using swarm optimization and sensors deployment

open access: yesInternational Journal of Advanced Robotic Systems, 2020
The present work deals with the design of intelligent path planning algorithms for a mobile robot in static and dynamic environments based on swarm intelligence optimization.
Fatin Hassan Ajeil   +3 more
doaj   +1 more source

A bat optimization algorithm with moderate orientation and perturbation of trend

open access: yesJournal of Algorithms & Computational Technology, 2021
In order to improve the convergence speed and optimization accuracy of the bat algorithm, a bat optimization algorithm with moderate optimal orientation and random perturbation of trend is proposed. The algorithm introduces the nonlinear variation factor
Jingsen Liu   +3 more
doaj   +1 more source

Discrete Bat Algorithm for Optimal Problem of Permutation Flow Shop Scheduling

open access: yesThe Scientific World Journal, 2014
A discrete bat algorithm (DBA) is proposed for optimal permutation flow shop scheduling problem (PFSP). Firstly, the discrete bat algorithm is constructed based on the idea of basic bat algorithm, which divide whole scheduling problem into many ...
Qifang Luo   +4 more
doaj   +1 more source

Estimating the Pan Evaporation in Northwest China by Coupling CatBoost with Bat Algorithm

open access: yes, 2021
Accurate estimation of pan evaporation (Ep) is vital for the development of water resources and agricultural water management, especially in arid and semi-arid regions where it is restricted to set up the facilities and measure pan evaporation accurately
Liming Dong   +6 more
semanticscholar   +1 more source

An enhanced adaptive bat algorithm for microgrid energy scheduling

open access: yes, 2021
Microgrid (MG) systems have been growing rapidly with increasing electric power generation through small distributed generators (DGs) including renewable generation systems. Optimal energy scheduling is one of the most important and challenging issues in
Qiangda Yang, Ning Dong, J. Zhang
semanticscholar   +1 more source

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