Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems

Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems

Show other versions (1)

Metaheuristic algorithms have been widely used to solve diverse kinds of optimization problems. For an optimization problem, population initialization plays a significant role in metaheuristic algorithms. These algorithms can influence the convergence to find an efficient optimal solution. Mainly, f...

Full description

Bibliographic Details
Main Authors: Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Bin Ag. Ibrahim, Muhammad Reazul Haque, Joel J. P. C. Rodrigues, Danda B. Rawat
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
Subjects:
Q1-390 Science (General)
QA75.5-76.95 Electronic computers. Computer science
Online Access:https://eprints.ums.edu.my/id/eprint/32027/1/Comparative%20Analysis%20of%20Low%20Discrepancy%20Sequence-Based%20Initialization%20Approaches%20Using%20Population-Based%20Algorithms%20for%20Solving%20the%20Global%20Optimization%20Problems.pdf
https://eprints.ums.edu.my/id/eprint/32027/2/Comparative%20Analysis%20of%20Low%20Discrepancy%20Sequence-Based%20Initialization%20Approaches%20Using%20Population-Based%20Algorithms%20for%20Solving%20the%20Global%20Optimization%20Problems1.pdf

Internet

https://eprints.ums.edu.my/id/eprint/32027/1/Comparative%20Analysis%20of%20Low%20Discrepancy%20Sequence-Based%20Initialization%20Approaches%20Using%20Population-Based%20Algorithms%20for%20Solving%20the%20Global%20Optimization%20Problems.pdf
https://eprints.ums.edu.my/id/eprint/32027/2/Comparative%20Analysis%20of%20Low%20Discrepancy%20Sequence-Based%20Initialization%20Approaches%20Using%20Population-Based%20Algorithms%20for%20Solving%20the%20Global%20Optimization%20Problems1.pdf

Similar Items