Improved Bat Algorithm for faster convergence in solving optimisation problem
Optimisation is concerned with finding solutions to problems under certain constraints. One of the optimisation approaches is metaheuristic. Metaheuristic algorithms are inspired by nature and utilise intelligent mechanisms. In this study, one of the metaheuristic algorithms known as the Bat Algorit...
Saved in:
Main Author: | Ramli, Mohamad Raziff |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/26076/1/Improved%20Bat%20Algorithm%20for%20faster%20convergence%20in%20solving%20optimisation%20problem.pdf http://eprints.utem.edu.my/id/eprint/26076/2/Improved%20Bat%20Algorithm%20for%20faster%20convergence%20in%20solving%20optimisation%20problem.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved bat algorithm with artificial neural networks for classification problems
by: Rehman Gillani, Syed Muhammad Zubair
Published: (2016) -
Bats echolocation-inspired algorithms for global optimisation problems
by: Nafrizuan, Mat Yahya
Published: (2016) -
An integral equation method for solving exterior Neumann problems on smooth regions
by: Jumadi, Azlina
Published: (2009) -
An enhanced metaheuristic approach to solve quadratic assignment problem using hybrid technique
by: Hameed, Asaad Shakir
Published: (2021) -
Polynomial-Space Exact Algorithms For Traveling Salesman Problem In Degree Bounded Graphs
by: Md Yunos, Norhazwani
Published: (2017)